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Collections including paper arxiv:2509.06870

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

The Majority is not always right: RL training for solution aggregation

Paper • 2509.06870 • Published Sep 8 • 16
Running on Zero

657

IndexTTS 2 Demo

🏢

657

Generate expressive voice from text using audio reference

Reasoning Papers

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

Paper • 2508.07629 • Published Aug 11 • 43
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning

Paper • 2508.07101 • Published Aug 9 • 14
Compressing Chain-of-Thought in LLMs via Step Entropy

Paper • 2508.03346 • Published Aug 5 • 8
Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Paper • 2508.08940 • Published Aug 12 • 27

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 • 20
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 • 30

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10 • 56
The Majority is not always right: RL training for solution aggregation

Paper • 2509.06870 • Published Sep 8 • 16
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

Paper • 2509.07980 • Published Sep 9 • 101
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning

Paper • 2509.03646 • Published Sep 3 • 32

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

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10 • 56
The Majority is not always right: RL training for solution aggregation

Paper • 2509.06870 • Published Sep 8 • 16
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

Paper • 2509.07980 • Published Sep 9 • 101
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning

Paper • 2509.03646 • Published Sep 3 • 32

The Majority is not always right: RL training for solution aggregation

Paper • 2509.06870 • Published Sep 8 • 16
Running on Zero

657

IndexTTS 2 Demo

🏢

657

Generate expressive voice from text using audio reference

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

Reasoning Papers

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

Paper • 2508.07629 • Published Aug 11 • 43
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning

Paper • 2508.07101 • Published Aug 9 • 14
Compressing Chain-of-Thought in LLMs via Step Entropy

Paper • 2508.03346 • Published Aug 5 • 8
Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Paper • 2508.08940 • Published Aug 12 • 27

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

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 • 20
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 • 30

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