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Collections including paper arxiv:2502.14382

Reasoning, Thinking, RL and Test-Time Scaling

about 10 hours ago

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

Paper • 2412.18319 • Published Dec 24, 2024 • 37
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 • 36
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 46

S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published 18 days ago • 59

S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published 18 days ago • 59
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Paper • 2502.12853 • Published 20 days ago • 28
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 260
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Paper • 2502.02508 • Published Feb 4 • 23

S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published 18 days ago • 59
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Paper • 2502.07374 • Published 27 days ago • 36

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU

Paper • 2502.08910 • Published 25 days ago • 143
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Paper • 2502.05171 • Published about 1 month ago • 122
S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published 18 days ago • 59

Reasoning Models

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

Paper • 2501.18585 • Published Jan 30 • 56
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Paper • 2502.07374 • Published 27 days ago • 36
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Paper • 2502.06703 • Published 27 days ago • 142
S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published 18 days ago • 59

MLLM-as-a-Judge for Image Safety without Human Labeling

Paper • 2501.00192 • Published Dec 31, 2024 • 25
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 100
Xmodel-2 Technical Report

Paper • 2412.19638 • Published Dec 27, 2024 • 26
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 97

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 42
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 57

Perception and abstraction. Each modality is tokenized and embedded into vectors for model to comprehend.

about 12 hours ago

VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24, 2024 • 40
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30, 2024 • 117
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 48
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28, 2024 • 43

DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 40
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 55
Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Paper • 2406.06592 • Published Jun 5, 2024 • 29
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Paper • 2406.07394 • Published Jun 11, 2024 • 28

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