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Collections including paper arxiv:2507.13158

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17 • 23
AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning

Paper • 2507.12841 • Published Jul 17 • 41
FLEXITOKENS: Flexible Tokenization for Evolving Language Models

Paper • 2507.12720 • Published Jul 17 • 9

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17 • 23
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering

Paper • 2507.11527 • Published Jul 15 • 32
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models

Paper • 2507.14241 • Published Jul 17 • 17
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68

MLLM Reasoning, Rewarding, and Understanding

Papers on the reasoning, rewarding, and understanding of the MLLMs and LLMs

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 277
SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis

Paper • 2506.02096 • Published Jun 2 • 52
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 142

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Paper • 2503.12937 • Published Mar 17 • 30
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs

Paper • 2507.07996 • Published Jul 10 • 34
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17 • 23

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning

Paper • 2311.12631 • Published Nov 21, 2023 • 15
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 58
VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step

Paper • 2504.01956 • Published Apr 2 • 41
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding

Paper • 2506.23219 • Published Jun 29 • 7

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17 • 23

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

about 20 hours ago

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 8.14k • 1.23k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 138 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

Reinforcement learning

Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning

Paper • 2407.20798 • Published Jul 30, 2024 • 24
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 103
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75

ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
Language Models can be Logical Solvers

Paper • 2311.06158 • Published Nov 10, 2023 • 23
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Paper • 2311.05997 • Published Nov 10, 2023 • 37
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 32

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17 • 23
AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning

Paper • 2507.12841 • Published Jul 17 • 41
FLEXITOKENS: Flexible Tokenization for Evolving Language Models

Paper • 2507.12720 • Published Jul 17 • 9

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17 • 23

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17 • 23
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering

Paper • 2507.11527 • Published Jul 15 • 32
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models

Paper • 2507.14241 • Published Jul 17 • 17
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68

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

MLLM Reasoning, Rewarding, and Understanding

Papers on the reasoning, rewarding, and understanding of the MLLMs and LLMs

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 277
SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis

Paper • 2506.02096 • Published Jun 2 • 52
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 142

about 20 hours ago

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 8.14k • 1.23k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 138 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Paper • 2503.12937 • Published Mar 17 • 30
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs

Paper • 2507.07996 • Published Jul 10 • 34
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17 • 23

Reinforcement learning

Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning

Paper • 2407.20798 • Published Jul 30, 2024 • 24
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 103
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning

Paper • 2311.12631 • Published Nov 21, 2023 • 15
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 58
VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step

Paper • 2504.01956 • Published Apr 2 • 41
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding

Paper • 2506.23219 • Published Jun 29 • 7

ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
Language Models can be Logical Solvers

Paper • 2311.06158 • Published Nov 10, 2023 • 23
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Paper • 2311.05997 • Published Nov 10, 2023 • 37
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 32

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