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ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 38 -
Toolformer: Language Models Can Teach Themselves to Use Tools
Paper • 2302.04761 • Published • 12 -
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets
Paper • 2406.18518 • Published • 26 -
ToolACE: Winning the Points of LLM Function Calling
Paper • 2409.00920 • Published • 2
Collections
Discover the best community collections!
Collections including paper arxiv:2606.15007
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Why Fine-Tuning Encourages Hallucinations and How to Fix It
Paper • 2604.15574 • Published • 25 -
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
Paper • 2604.24763 • Published • 70 -
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
Paper • 2604.24819 • Published • 90 -
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
Paper • 2604.26752 • Published • 114
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Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Paper • 2410.10814 • Published • 50 -
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Paper • 2502.16894 • Published • 33 -
Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs
Paper • 2506.14731 • Published • 8 -
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Paper • 2506.18349 • Published • 13
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Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 57 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 36 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 26
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The Verification Horizon: No Silver Bullet for Coding Agent Rewards
Paper • 2606.26300 • Published • 53 -
Autodata: An agentic data scientist to create high quality synthetic data
Paper • 2606.25996 • Published • 21 -
OpenThoughts-Agent: Data Recipes for Agentic Models
Paper • 2606.24855 • Published • 49 -
CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents
Paper • 2606.22883 • Published • 38
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WorldVLA: Towards Autoregressive Action World Model
Paper • 2506.21539 • Published • 40 -
Fast and Simplex: 2-Simplicial Attention in Triton
Paper • 2507.02754 • Published • 25 -
IntFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction
Paper • 2507.02025 • Published • 36 -
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact
Paper • 2507.00951 • Published • 24
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Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 52 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
Repeat After Me: Transformers are Better than State Space Models at Copying
Paper • 2402.01032 • Published • 25 -
BlackMamba: Mixture of Experts for State-Space Models
Paper • 2402.01771 • Published • 25
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LASER: LLM Agent with State-Space Exploration for Web Navigation
Paper • 2309.08172 • Published • 13 -
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
Paper • 2606.15007 • Published • 19 -
StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling
Paper • 2608.15089 • Published • 452 -
FACET: Preserving Source Intent and Executable State in Terminal Task Synthesis
Paper • 2608.18580 • Published • 74
-
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 38 -
Toolformer: Language Models Can Teach Themselves to Use Tools
Paper • 2302.04761 • Published • 12 -
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets
Paper • 2406.18518 • Published • 26 -
ToolACE: Winning the Points of LLM Function Calling
Paper • 2409.00920 • Published • 2
-
The Verification Horizon: No Silver Bullet for Coding Agent Rewards
Paper • 2606.26300 • Published • 53 -
Autodata: An agentic data scientist to create high quality synthetic data
Paper • 2606.25996 • Published • 21 -
OpenThoughts-Agent: Data Recipes for Agentic Models
Paper • 2606.24855 • Published • 49 -
CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents
Paper • 2606.22883 • Published • 38
-
Why Fine-Tuning Encourages Hallucinations and How to Fix It
Paper • 2604.15574 • Published • 25 -
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
Paper • 2604.24763 • Published • 70 -
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
Paper • 2604.24819 • Published • 90 -
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
Paper • 2604.26752 • Published • 114
-
WorldVLA: Towards Autoregressive Action World Model
Paper • 2506.21539 • Published • 40 -
Fast and Simplex: 2-Simplicial Attention in Triton
Paper • 2507.02754 • Published • 25 -
IntFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction
Paper • 2507.02025 • Published • 36 -
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact
Paper • 2507.00951 • Published • 24
-
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Paper • 2410.10814 • Published • 50 -
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Paper • 2502.16894 • Published • 33 -
Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs
Paper • 2506.14731 • Published • 8 -
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Paper • 2506.18349 • Published • 13
-
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 52 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
Repeat After Me: Transformers are Better than State Space Models at Copying
Paper • 2402.01032 • Published • 25 -
BlackMamba: Mixture of Experts for State-Space Models
Paper • 2402.01771 • Published • 25
-
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 57 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 36 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 26
-
LASER: LLM Agent with State-Space Exploration for Web Navigation
Paper • 2309.08172 • Published • 13 -
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
Paper • 2606.15007 • Published • 19 -
StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling
Paper • 2608.15089 • Published • 452 -
FACET: Preserving Source Intent and Executable State in Terminal Task Synthesis
Paper • 2608.18580 • Published • 74