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Collections including paper arxiv:2411.04282

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Paper • 2502.02737 • Published Feb 4 • 249
Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published Feb 5 • 58
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22 • 125
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123

Reasoning systems

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling

Paper • 2412.14860 • Published Dec 19, 2024 • 2
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning

Paper • 2412.15797 • Published Dec 20, 2024 • 18

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66

LLMs + Persona-Plug = Personalized LLMs

Paper • 2409.11901 • Published Sep 18, 2024 • 35
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Paper • 2409.12183 • Published Sep 18, 2024 • 39
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20, 2024 • 13
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

Paper • 2410.00531 • Published Oct 1, 2024 • 34

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Paper • 2501.18585 • Published Jan 30 • 61
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization

Paper • 2412.18279 • Published Dec 24, 2024
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback

Paper • 2501.10799 • Published Jan 18 • 15
Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Paper • 2501.19324 • Published Jan 31 • 39

Video Creation by Demonstration

Paper • 2412.09551 • Published Dec 12, 2024 • 9
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published Dec 10, 2024 • 48
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 72
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12, 2024 • 16
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9, 2024 • 37
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9, 2024 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Paper • 2411.14432 • Published Nov 21, 2024 • 25

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Paper • 2502.02737 • Published Feb 4 • 249
Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published Feb 5 • 58
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22 • 125
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123

Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Paper • 2501.18585 • Published Jan 30 • 61
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization

Paper • 2412.18279 • Published Dec 24, 2024
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback

Paper • 2501.10799 • Published Jan 18 • 15
Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Paper • 2501.19324 • Published Jan 31 • 39

Reasoning systems

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling

Paper • 2412.14860 • Published Dec 19, 2024 • 2
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning

Paper • 2412.15797 • Published Dec 20, 2024 • 18

Video Creation by Demonstration

Paper • 2412.09551 • Published Dec 12, 2024 • 9
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published Dec 10, 2024 • 48
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 72
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12, 2024 • 16
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9, 2024 • 37
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9, 2024 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

LLMs + Persona-Plug = Personalized LLMs

Paper • 2409.11901 • Published Sep 18, 2024 • 35
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Paper • 2409.12183 • Published Sep 18, 2024 • 39
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20, 2024 • 13
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

Paper • 2410.00531 • Published Oct 1, 2024 • 34

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Paper • 2411.14432 • Published Nov 21, 2024 • 25

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