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Collections including paper arxiv:2510.11701

Read Later Stack

Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31
Self-Improving LLM Agents at Test-Time

Paper • 2510.07841 • Published Oct 9 • 9
Making Mathematical Reasoning Adaptive

Paper • 2510.04617 • Published Oct 6 • 22
DocReward: A Document Reward Model for Structuring and Stylizing

Paper • 2510.11391 • Published Oct 13 • 27

Reinforcement Learning

Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts

Paper • 2510.19363 • Published Oct 22 • 61
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 45
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence

Paper • 2511.07384 • Published Nov 10 • 16

Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

Paper • 2510.03259 • Published Sep 26 • 57
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Paper • 2510.07242 • Published Oct 8 • 30
First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Paper • 2510.08308 • Published Oct 9 • 24
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 70
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 22
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

Large Language Models

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Paper • 2510.00515 • Published Oct 1 • 39
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 140

RL - Reinforcement Learning

QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs

Paper • 2510.11696 • Published Oct 13 • 176
Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Paper • 2510.04618 • Published Oct 6 • 125
Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31

OpenThoughts: Data Recipes for Reasoning Models

Paper • 2506.04178 • Published Jun 4 • 48
NEMOTRON-CROSSTHINK: Scaling Self-Learning beyond Math Reasoning

Paper • 2504.13941 • Published Apr 15 • 11
Retrieval-augmented reasoning with lean language models

Paper • 2508.11386 • Published Aug 15 • 5
Language Models that Think, Chat Better

Paper • 2509.20357 • Published Sep 24 • 1

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

Paper • 2510.16872 • Published Oct 19 • 106

Reinforcement Learning in Vision: A Survey

Paper • 2508.08189 • Published Aug 11 • 29
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Paper • 2508.17437 • Published Aug 20 • 37
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation

Paper • 2509.00428 • Published Aug 30 • 17
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions

Paper • 2509.06951 • Published Sep 8 • 31

Read Later Stack

Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31
Self-Improving LLM Agents at Test-Time

Paper • 2510.07841 • Published Oct 9 • 9
Making Mathematical Reasoning Adaptive

Paper • 2510.04617 • Published Oct 6 • 22
DocReward: A Document Reward Model for Structuring and Stylizing

Paper • 2510.11391 • Published Oct 13 • 27

RL - Reinforcement Learning

QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs

Paper • 2510.11696 • Published Oct 13 • 176
Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31

Reinforcement Learning

Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts

Paper • 2510.19363 • Published Oct 22 • 61
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 45
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence

Paper • 2511.07384 • Published Nov 10 • 16

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Paper • 2510.04618 • Published Oct 6 • 125
Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31

Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

Paper • 2510.03259 • Published Sep 26 • 57
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Paper • 2510.07242 • Published Oct 8 • 30
First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Paper • 2510.08308 • Published Oct 9 • 24
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75

OpenThoughts: Data Recipes for Reasoning Models

Paper • 2506.04178 • Published Jun 4 • 48
NEMOTRON-CROSSTHINK: Scaling Self-Learning beyond Math Reasoning

Paper • 2504.13941 • Published Apr 15 • 11
Retrieval-augmented reasoning with lean language models

Paper • 2508.11386 • Published Aug 15 • 5
Language Models that Think, Chat Better

Paper • 2509.20357 • Published Sep 24 • 1

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 70
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 22
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

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

Paper • 2510.16872 • Published Oct 19 • 106

Large Language Models

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Paper • 2510.00515 • Published Oct 1 • 39
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 140

Reinforcement Learning in Vision: A Survey

Paper • 2508.08189 • Published Aug 11 • 29
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Paper • 2508.17437 • Published Aug 20 • 37
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation

Paper • 2509.00428 • Published Aug 30 • 17
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions

Paper • 2509.06951 • Published Sep 8 • 31

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