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Collections including paper arxiv:2408.03314

LLM Reasoning Papers

Papers to improve reasoning capabilities of LLMs

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Paper • 2408.07199 • Published Aug 13, 2024 • 21
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14, 2024 • 75
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning

Paper • 2406.12050 • Published Jun 17, 2024 • 19
Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 10

LLM Reasoning Papers

improve reasoning capabilities of LLMs

Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 10
LLM Critics Help Catch LLM Bugs

Paper • 2407.00215 • Published Jun 28, 2024
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Paper • 2407.21787 • Published Jul 31, 2024 • 12
Generative Verifiers: Reward Modeling as Next-Token Prediction

Paper • 2408.15240 • Published Aug 27, 2024 • 13

Scaling Test Time Compute

Running

430

📈

Scaling test-time compute
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 54
Solving math word problems with process- and outcome-based feedback

Paper • 2211.14275 • Published Nov 25, 2022 • 7

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 27 days ago • 66
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Paper • 2411.14405 • Published Nov 21, 2024 • 58

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 27 days ago • 66
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

Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published 27 days ago • 66
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 54
Solving math word problems with process- and outcome-based feedback

Paper • 2211.14275 • Published Nov 25, 2022 • 7

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Paper • 2408.06195 • Published Aug 12, 2024 • 64
Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published Sep 19, 2024 • 136
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 54
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Paper • 2405.06682 • Published May 5, 2024 • 3

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper • 2408.15998 • Published Aug 28, 2024 • 84
General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Paper • 2409.01704 • Published Sep 3, 2024 • 83
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Paper • 2408.06195 • Published Aug 12, 2024 • 64
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Paper • 2405.06682 • Published May 5, 2024 • 3

LLM_Interesting

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 54

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