ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper
• 2504.11536 • Published
• 63
Papers
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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 277 -
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Paper • 2503.12605 • Published • 35 -
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 273 -
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Paper • 2503.12937 • Published • 30 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 124 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 152 -
Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models
Paper • 2501.12370 • Published • 11 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
Paper • 2410.13339 • Published -
Gorilla: Large Language Model Connected with Massive APIs
Paper • 2305.15334 • Published • 6 -
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 60 -
Towards Optimal Learning of Language Models
Paper • 2402.17759 • Published • 18 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 189 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 77 -
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
Paper • 2301.11660 • Published • 1 -
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
Paper • 2406.12824 • Published • 21 -
Scaling and evaluating sparse autoencoders
Paper • 2406.04093 • Published • 3 -
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Paper • 2412.10302 • Published • 22 -
LLM Post-Training: A Deep Dive into Reasoning Large Language Models
Paper • 2502.21321 • Published • 1 -
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
Paper • 2501.09620 • Published -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 336 -
Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play
Paper • 2505.02707 • Published • 85 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 205 -
EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge
Paper • 2505.23009 • Published • 18 -
FP4 All the Way: Fully Quantized Training of LLMs
Paper • 2505.19115 • Published • 4