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Collections including paper arXiv:2510.01265

SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights

Paper • 2509.22944 • Published Sep 26 • 78
Robot Learning: A Tutorial

Paper • 2510.12403 • Published 28 days ago • 104
UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE

Paper • 2510.13344 • Published 27 days ago • 61
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

Paper • 2510.06308 • Published Oct 7 • 52

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Paper • 2508.10751 • Published Aug 14 • 28
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20 • 42
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published Aug 22 • 154

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 141
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 136
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

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 • 102
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 8
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection

Paper • 2310.05035 • Published Oct 8, 2023 • 1
Chain-of-Thought Reasoning is a Policy Improvement Operator

Paper • 2309.08589 • Published Sep 15, 2023 • 2

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

Representation & Optimization

Understanding about representation sheds light on optimization

Nuclear Norm Regularization for Deep Learning

Paper • 2405.14544 • Published May 23, 2024 • 1
Token embeddings violate the manifold hypothesis

Paper • 2504.01002 • Published Apr 1 • 1
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers

Paper • 2403.10476 • Published Mar 15, 2024 • 1
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning

Paper • 2504.00254 • Published Mar 31 • 1

about 4 hours ago

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

Paper • 2410.14059 • Published Oct 17, 2024 • 61
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7 • 46
Token-Efficient Long Video Understanding for Multimodal LLMs

Paper • 2503.04130 • Published Mar 6 • 96
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Paper • 2503.10639 • Published Mar 13 • 53

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 5
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 6
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 3
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 25
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 51

SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights

Paper • 2509.22944 • Published Sep 26 • 78
Robot Learning: A Tutorial

Paper • 2510.12403 • Published 28 days ago • 104
UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE

Paper • 2510.13344 • Published 27 days ago • 61
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

Paper • 2510.06308 • Published Oct 7 • 52

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Paper • 2508.10751 • Published Aug 14 • 28
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20 • 42
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published Aug 22 • 154

Representation & Optimization

Understanding about representation sheds light on optimization

Nuclear Norm Regularization for Deep Learning

Paper • 2405.14544 • Published May 23, 2024 • 1
Token embeddings violate the manifold hypothesis

Paper • 2504.01002 • Published Apr 1 • 1
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers

Paper • 2403.10476 • Published Mar 15, 2024 • 1
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning

Paper • 2504.00254 • Published Mar 31 • 1

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 141
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 136
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

about 4 hours ago

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

Paper • 2410.14059 • Published Oct 17, 2024 • 61
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7 • 46
Token-Efficient Long Video Understanding for Multimodal LLMs

Paper • 2503.04130 • Published Mar 6 • 96
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Paper • 2503.10639 • Published Mar 13 • 53

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 • 102
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 5
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 6
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 8
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection

Paper • 2310.05035 • Published Oct 8, 2023 • 1
Chain-of-Thought Reasoning is a Policy Improvement Operator

Paper • 2309.08589 • Published Sep 15, 2023 • 2

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 3
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 25
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 51

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