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Discover the best community collections!

Collections including paper arxiv:2502.03387

about 15 hours ago

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training

Paper • 2502.06589 • Published 4 days ago • 14
LIMO: Less is More for Reasoning

Paper • 2502.03387 • Published 9 days ago • 49
Control LLM: Controlled Evolution for Intelligence Retention in LLM

Paper • 2501.10979 • Published 26 days ago • 6
LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts

Paper • 2501.05554 • Published Jan 9 • 1

Chain of Thoughts LLM

Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published 9 days ago • 50
LIMO: Less is More for Reasoning

Paper • 2502.03387 • Published 9 days ago • 49

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Paper • 2501.09751 • Published 29 days ago • 47
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published 29 days ago • 36
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published 23 days ago • 318
s1: Simple test-time scaling

Paper • 2501.19393 • Published 14 days ago • 100

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 255
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 89
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 54
Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 78

about 21 hours ago

STaR: Bootstrapping Reasoning With Reasoning

Paper • 2203.14465 • Published Mar 28, 2022 • 8
Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 10
Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 78
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Paper • 2411.14405 • Published Nov 21, 2024 • 58

Data and other things

MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Paper • 2412.14475 • Published Dec 19, 2024 • 53
How to Synthesize Text Data without Model Collapse?

Paper • 2412.14689 • Published Dec 19, 2024 • 50
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
WavePulse: Real-time Content Analytics of Radio Livestreams

Paper • 2412.17998 • Published Dec 23, 2024 • 10

Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 78
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 54
ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights

Paper • 2406.14596 • Published Jun 20, 2024 • 5
A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More

Paper • 2407.16216 • Published Jul 23, 2024

about 4 hours ago

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 • 56

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Paper • 2403.09029 • Published Mar 14, 2024 • 55
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19, 2024 • 25
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 69
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14, 2024 • 76

Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29, 2024 • 50
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29, 2024 • 53
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1, 2024 • 45
Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29, 2024 • 23

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