BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 80 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 46 -
Contrastive Prefence Learning: Learning from Human Feedback without RL
Paper • 2310.13639 • Published • 25 -
Safe RLHF: Safe Reinforcement Learning from Human Feedback
Paper • 2310.12773 • Published • 28 -
An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning
Paper • 2310.12274 • Published • 13 -
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Paper • 2310.11441 • Published • 29 -
In-Context Pretraining: Language Modeling Beyond Document Boundaries
Paper • 2310.10638 • Published • 30 -
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
Paper • 2310.03502 • Published • 79 -
How FaR Are Large Language Models From Agents with Theory-of-Mind?
Paper • 2310.03051 • Published • 35 -
Large Language Models Cannot Self-Correct Reasoning Yet
Paper • 2310.01798 • Published • 36 -
Enable Language Models to Implicitly Learn Self-Improvement From Data
Paper • 2310.00898 • Published • 24 -
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Paper • 2310.00426 • Published • 61 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 19 -
Vision Transformers Need Registers
Paper • 2309.16588 • Published • 86 -
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Paper • 2310.04378 • Published • 22 -
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper • 2310.17680 • Published • 74 -
Personas as a Way to Model Truthfulness in Language Models
Paper • 2310.18168 • Published • 5 -
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 54 -
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling
Paper • 2311.00430 • Published • 56 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 42 -
Controllable Music Production with Diffusion Models and Guidance Gradients
Paper • 2311.00613 • Published • 25 -
De-Diffusion Makes Text a Strong Cross-Modal Interface
Paper • 2311.00618 • Published • 22 -
The Generative AI Paradox: "What It Can Create, It May Not Understand"
Paper • 2311.00059 • Published • 19 -
Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?
Paper • 2311.00047 • Published • 10 -
CapsFusion: Rethinking Image-Text Data at Scale
Paper • 2310.20550 • Published • 27 -
Beyond U: Making Diffusion Models Faster & Lighter
Paper • 2310.20092 • Published • 12 -
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Paper • 2310.18356 • Published • 24 -
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 18 -
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper • 2305.07759 • Published • 45 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 155 -
QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models
Paper • 2310.16795 • Published • 27 -
FLAP: Fast Language-Audio Pre-training
Paper • 2311.01615 • Published • 16 -
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Paper • 2311.05556 • Published • 86 -
Levels of AGI for Operationalizing Progress on the Path to AGI
Paper • 2311.02462 • Published • 36 -
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
Paper • 2311.07361 • Published • 14 -
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster
Paper • 2311.08263 • Published • 16 -
Technical Report: Large Language Models can Strategically Deceive their Users when Put Under Pressure
Paper • 2311.07590 • Published • 17 -
Music ControlNet: Multiple Time-varying Controls for Music Generation
Paper • 2311.07069 • Published • 44 -
Prompt Engineering a Prompt Engineer
Paper • 2311.05661 • Published • 23 -
PolyMaX: General Dense Prediction with Mask Transformer
Paper • 2311.05770 • Published • 8 -
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
Paper • 2311.09257 • Published • 47 -
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Paper • 2311.10093 • Published • 58 -
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
Paper • 2311.04257 • Published • 22 -
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers
Paper • 2311.10642 • Published • 25 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 77 -
Exponentially Faster Language Modelling
Paper • 2311.10770 • Published • 119 -
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
Paper • 2311.11501 • Published • 37 -
System 2 Attention (is something you might need too)
Paper • 2311.11829 • Published • 43 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 247 -
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Paper • 2311.13231 • Published • 28 -
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Paper • 2312.03818 • Published • 34 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 82 -
FaceStudio: Put Your Face Everywhere in Seconds
Paper • 2312.02663 • Published • 32 -
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis
Paper • 2312.03491 • Published • 34 -
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 34 -
DeepCache: Accelerating Diffusion Models for Free
Paper • 2312.00858 • Published • 23 -
Your ViT is Secretly an Image Segmentation Model
Paper • 2503.19108 • Published • 25 -
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy
Paper • 2503.19757 • Published • 51 -
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper • 2504.17192 • Published • 124 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 122 -
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Paper • 2505.03335 • Published • 191 -
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies
Paper • 2602.09877 • Published • 197 -
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
Paper • 2602.10090 • Published • 52 -
Code2World: A GUI World Model via Renderable Code Generation
Paper • 2602.09856 • Published • 202 -
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 290 -
PaperBanana: Automating Academic Illustration for AI Scientists
Paper • 2601.23265 • Published • 225 -
SWE-Universe: Scale Real-World Verifiable Environments to Millions
Paper • 2602.02361 • Published • 60 -
PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss
Paper • 2602.02493 • Published • 46 -
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
Paper • 2602.02338 • Published • 42 -
Context Forcing: Consistent Autoregressive Video Generation with Long Context
Paper • 2602.06028 • Published • 36 -
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Paper • 2602.02488 • Published • 36 -
Reinforcement World Model Learning for LLM-based Agents
Paper • 2602.05842 • Published • 27 -
Beyond Pixels: Visual Metaphor Transfer via Schema-Driven Agentic Reasoning
Paper • 2602.01335 • Published • 16 -
AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
Paper • 2602.03786 • Published • 90 -
UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing
Paper • 2602.02437 • Published • 80 -
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
Paper • 2602.08234 • Published • 75 -
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
Paper • 2602.08990 • Published • 77 -
AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders
Paper • 2602.05027 • Published • 63 -
Improving Data and Reward Design for Scientific Reasoning in Large Language Models
Paper • 2602.08321 • Published • 43 -
MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration
Paper • 2602.01734 • Published • 32 -
Self-Improving World Modelling with Latent Actions
Paper • 2602.06130 • Published • 32 -
When Actions Teach You to Think: Reasoning-Action Synergy via Reinforcement Learning in Conversational Agents
Paper • 2512.11277 • Published -
Judging What We Cannot Solve: A Consequence-Based Approach for Oracle-Free Evaluation of Research-Level Math
Paper • 2602.06291 • Published • 24 -
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
Paper • 2602.10560 • Published • 31 -
iGRPO: Self-Feedback-Driven LLM Reasoning
Paper • 2602.09000 • Published • 18 -
UI-Venus-1.5 Technical Report
Paper • 2602.09082 • Published • 157 -
Chain of Mindset: Reasoning with Adaptive Cognitive Modes
Paper • 2602.10063 • Published • 75 -
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs
Paper • 2602.10388 • Published • 244 -
AgentSkiller: Scaling Generalist Agent Intelligence through Semantically Integrated Cross-Domain Data Synthesis
Paper • 2602.09372 • Published • 7 -
AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
Paper • 2602.03955 • Published • 8 -
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
Paper • 2503.06692 • Published • 2 -
InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
Paper • 2602.06960 • Published • 14 -
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper • 2602.11858 • Published • 63 -
Intelligent AI Delegation
Paper • 2602.11865 • Published • 16 -
Architecting Agentic Communities using Design Patterns
Paper • 2601.03624 • Published -
Internet of Agentic AI: Incentive-Compatible Distributed Teaming and Workflow
Paper • 2602.03145 • Published -
BrowseComp-V^3: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents
Paper • 2602.12876 • Published • 12 -
WebWorld: A Large-Scale World Model for Web Agent Training
Paper • 2602.14721 • Published • 11 -
HeartMuLa: A Family of Open Sourced Music Foundation Models
Paper • 2601.10547 • Published • 48 -
Recursive Language Models
Paper • 2512.24601 • Published • 94 -
SimpleMem: Efficient Lifelong Memory for LLM Agents
Paper • 2601.02553 • Published • 37 -
Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
Paper • 2510.06961 • Published • 12 -
Qwen3-ASR Technical Report
Paper • 2601.21337 • Published • 36 -
Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices
Paper • 2509.02523 • Published • 21 -
Index-ASR Technical Report
Paper • 2601.00890 • Published -
Fast KV Compaction via Attention Matching
Paper • 2602.16284 • Published • 1 -
ArXiv-to-Model: A Practical Study of Scientific LM Training
Paper • 2602.17288 • Published • 9 -
AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines
Paper • 2602.14296 • Published • 51 -
Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents
Paper • 2602.16855 • Published • 51 -
SkillOrchestra: Learning to Route Agents via Skill Transfer
Paper • 2602.19672 • Published • 58 -
A Very Big Video Reasoning Suite
Paper • 2602.20159 • Published • 519 -
Multi-Vector Index Compression in Any Modality
Paper • 2602.21202 • Published • 22 -
CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
Paper • 2602.23452 • Published • 17 -
Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
Paper • 2602.23008 • Published • 37 -
Imagination Helps Visual Reasoning, But Not Yet in Latent Space
Paper • 2602.22766 • Published • 44 -
MediX-R1: Open Ended Medical Reinforcement Learning
Paper • 2602.23363 • Published • 22 -
Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization
Paper • 2602.22675 • Published • 23 -
AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning
Paper • 2602.23258 • Published • 28 -
DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints
Paper • 2601.18137 • Published • 35 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 204 -
Heterogeneous Agent Collaborative Reinforcement Learning
Paper • 2603.02604 • Published • 194 -
Does Your Reasoning Model Implicitly Know When to Stop Thinking?
Paper • 2602.08354 • Published • 264 -
DREAM: Deep Research Evaluation with Agentic Metrics
Paper • 2602.18940 • Published • 14 -
Experiential Reinforcement Learning
Paper • 2602.13949 • Published • 74 -
MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs
Paper • 2602.12705 • Published • 68 -
TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents
Paper • 2602.07274 • Published • 209 -
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Paper • 2602.02185 • Published • 118 -
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
Paper • 2601.22975 • Published • 111 -
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
Paper • 2602.02474 • Published • 63 -
FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents
Paper • 2602.01566 • Published • 52 -
Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles
Paper • 2602.01590 • Published • 33 -
Self-Hinting Language Models Enhance Reinforcement Learning
Paper • 2602.03143 • Published • 31 -
LLM-in-Sandbox Elicits General Agentic Intelligence
Paper • 2601.16206 • Published • 86 -
MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning
Paper • 2603.03379 • Published • 32 -
MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
Paper • 2603.03756 • Published • 89 -
SkillNet: Create, Evaluate, and Connect AI Skills
Paper • 2603.04448 • Published • 93 -
Progressive Residual Warmup for Language Model Pretraining
Paper • 2603.05369 • Published • 36 -
Memory in the Age of AI Agents
Paper • 2512.13564 • Published • 157 -
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Paper • 2507.17746 • Published • 5 -
Agentic Rubrics as Contextual Verifiers for SWE Agents
Paper • 2601.04171 • Published • 13 -
DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Report
Paper • 2601.08536 • Published • 3 -
RubricBench: Aligning Model-Generated Rubrics with Human Standards
Paper • 2603.01562 • Published • 63 -
ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents
Paper • 2511.07685 • Published • 10 -
Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics
Paper • 2602.10885 • Published • 1 -
How Far Can Unsupervised RLVR Scale LLM Training?
Paper • 2603.08660 • Published • 59 -
Reasoning Models Struggle to Control their Chains of Thought
Paper • 2603.05706 • Published • 37 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 170 -
TADA: A Generative Framework for Speech Modeling via Text-Acoustic Dual Alignment
Paper • 2602.23068 • Published • 7 -
Fish Audio S2 Technical Report
Paper • 2603.08823 • Published • 37 -
One Model, Many Budgets: Elastic Latent Interfaces for Diffusion Transformers
Paper • 2603.12245 • Published • 18 -
Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral Specifications
Paper • 2603.08806 • Published • 7 -
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
Paper • 2603.05863 • Published • 6 -
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
Paper • 2603.09906 • Published • 75 -
IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse
Paper • 2603.12201 • Published • 53 -
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Paper • 2603.12180 • Published • 65 -
Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
Paper • 2603.12228 • Published • 12 -
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Paper • 2509.24372 • Published • 12 -
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Paper • 1901.01753 • Published • 2 -
Learning to Continually Learn via Meta-learning Agentic Memory Designs
Paper • 2602.07755 • Published • 7 -
Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
Paper • 2505.22954 • Published • 15 -
Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning
Paper • 2603.04597 • Published • 210 -
OpenClaw-RL: Train Any Agent Simply by Talking
Paper • 2603.10165 • Published • 152 -
In-Context Reinforcement Learning for Tool Use in Large Language Models
Paper • 2603.08068 • Published • 43 -
CREATE: Testing LLMs for Associative Creativity
Paper • 2603.09970 • Published • 15 -
LMEB: Long-horizon Memory Embedding Benchmark
Paper • 2603.12572 • Published • 73 -
Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation
Paper • 2603.12793 • Published • 38 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 148 -
FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory
Paper • 2601.18642 • Published • 1 -
AI Can Learn Scientific Taste
Paper • 2603.14473 • Published • 426 -
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
Paper • 2603.15594 • Published • 149 -
EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
Paper • 2603.13594 • Published • 148 -
Learning to Discover at Test Time
Paper • 2601.16175 • Published • 44 -
Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science
Paper • 2603.15381 • Published • 1 -
GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
Paper • 2603.13875 • Published • 35 -
MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild
Paper • 2603.17187 • Published • 139 -
Hyperagents
Paper • 2603.19461 • Published • 50 -
REVERE: Reflective Evolving Research Engineer for Scientific Workflows
Paper • 2603.20667 • Published • 18 -
OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis
Paper • 2603.20278 • Published • 95 -
Deep Tabular Research via Continual Experience-Driven Execution
Paper • 2603.09151 • Published • 15 -
CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare
Paper • 2603.24157 • Published • 10 -
Memento-Skills: Let Agents Design Agents
Paper • 2603.18743 • Published • 58 -
Voxtral TTS
Paper • 2603.25551 • Published • 59 -
UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
Paper • 2603.24533 • Published • 47 -
T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search
Paper • 2603.22341 • Published • 37 -
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
Paper • 2604.02029 • Published • 144 -
Terminal Agents Suffice for Enterprise Automation
Paper • 2604.00073 • Published • 96 -
Towards a Medical AI Scientist
Paper • 2603.28589 • Published • 89 -
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
Paper • 2603.28342 • Published • 26 -
CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents
Paper • 2603.24440 • Published • 98 -
Composer 2 Technical Report
Paper • 2603.24477 • Published • 15 -
MedOpenClaw: Auditable Medical Imaging Agents Reasoning over Uncurated Full Studies
Paper • 2603.24649 • Published • 31 -
Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models
Paper • 2603.25750 • Published • 36 -
INSID3: Training-Free In-Context Segmentation with DINOv3
Paper • 2603.28480 • Published • 5 -
When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning
Paper • 2603.21289 • Published • 35 -
Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?
Paper • 2603.22582 • Published • 7 -
Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
Paper • 2603.25040 • Published • 131 -
Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design
Paper • 2603.28376 • Published • 23 -
Story2Proposal: A Scaffold for Structured Scientific Paper Writing
Paper • 2603.27065 • Published • 22 -
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
Paper • 2604.08377 • Published • 284 -
ClawBench: Can AI Agents Complete Everyday Online Tasks?
Paper • 2604.08523 • Published • 259 -
GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents
Paper • 2604.07429 • Published • 113 -
RAGEN-2: Reasoning Collapse in Agentic RL
Paper • 2604.06268 • Published • 65 -
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
Paper • 2604.04247 • Published • 30 -
Neural Computers
Paper • 2604.06425 • Published • 30 -
Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents
Paper • 2604.06132 • Published • 117 -
Learning to Retrieve from Agent Trajectories
Paper • 2604.04949 • Published • 70 -
MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU
Paper • 2604.05091 • Published • 45 -
ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement
Paper • 2604.01591 • Published • 41 -
Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated Reasoning
Paper • 2604.05404 • Published • 42 -
Squeez: Task-Conditioned Tool-Output Pruning for Coding Agents
Paper • 2604.04979 • Published • 10 -
Adam's Law: Textual Frequency Law on Large Language Models
Paper • 2604.02176 • Published • 486 -
TriAttention: Efficient Long Reasoning with Trigonometric KV Compression
Paper • 2604.04921 • Published • 110 -
Memory Intelligence Agent
Paper • 2604.04503 • Published • 58 -
SkillX: Automatically Constructing Skill Knowledge Bases for Agents
Paper • 2604.04804 • Published • 33 -
Self-Distilled RLVR
Paper • 2604.03128 • Published • 165 -
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning
Paper • 2604.02721 • Published • 367 -
DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
Paper • 2603.26164 • Published • 359 -
SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
Paper • 2604.02268 • Published • 96 -
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers
Paper • 2603.24414 • Published • 183 -
MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome
Paper • 2603.28407 • Published • 68 -
Embarrassingly Simple Self-Distillation Improves Code Generation
Paper • 2604.01193 • Published • 46 -
Paper Reconstruction Evaluation: Evaluating Presentation and Hallucination in AI-written Papers
Paper • 2604.01128 • Published • 15 -
Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants
Paper • 2604.00842 • Published • 14 -
Toward Autonomous Long-Horizon Engineering for ML Research
Paper • 2604.13018 • Published • 34