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Collections including paper arxiv:2505.14146

Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models

Paper • 2506.06395 • Published Jun 5 • 133
Magistral

Paper • 2506.10910 • Published Jun 12 • 65
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Paper • 2506.07240 • Published Jun 8 • 7
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation

Paper • 2506.09991 • Published Jun 11 • 55

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 19

Thought-Augmented Policy Optimization: Bridging External Guidance and Internal Capabilities

Paper • 2505.15692 • Published May 21 • 14
s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 19

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 85

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 28
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 43
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 54
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 19
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 19
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
ARM: Adaptive Reasoning Model

Paper • 2505.20258 • Published May 26 • 45
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

Paper • 2505.19914 • Published May 26 • 43

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 303
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
Process-Supervised Reinforcement Learning for Code Generation

Paper • 2502.01715 • Published Feb 3

Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models

Paper • 2506.06395 • Published Jun 5 • 133
Magistral

Paper • 2506.10910 • Published Jun 12 • 65
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Paper • 2506.07240 • Published Jun 8 • 7
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation

Paper • 2506.09991 • Published Jun 11 • 55

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 19
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 19

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 19
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
ARM: Adaptive Reasoning Model

Paper • 2505.20258 • Published May 26 • 45
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

Paper • 2505.19914 • Published May 26 • 43

Thought-Augmented Policy Optimization: Bridging External Guidance and Internal Capabilities

Paper • 2505.15692 • Published May 21 • 14
s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 19

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 303
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 85

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
Process-Supervised Reinforcement Learning for Code Generation

Paper • 2502.01715 • Published Feb 3

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 28
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 43
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 54
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

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