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Collections including paper arxiv:2402.12875

Papers I've read

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 99
Large Language Models Cannot Self-Correct Reasoning Yet

Paper • 2310.01798 • Published Oct 3, 2023 • 33
Premise Order Matters in Reasoning with Large Language Models

Paper • 2402.08939 • Published Feb 14 • 25
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20 • 13

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Paper • 2408.06195 • Published Aug 12 • 61
Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published Sep 19 • 131
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6 • 33
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Paper • 2405.06682 • Published May 5 • 2

Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20 • 13

LLMs + Persona-Plug = Personalized LLMs

Paper • 2409.11901 • Published Sep 18 • 30
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Paper • 2409.12183 • Published Sep 18 • 36
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

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

Paper • 2410.00531 • Published 21 days ago • 28

LLM Reasoning Papers

improve reasoning capabilities of LLMs

Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 9
LLM Critics Help Catch LLM Bugs

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

Paper • 2407.21787 • Published Jul 31 • 3
Generative Verifiers: Reward Modeling as Next-Token Prediction

Paper • 2408.15240 • Published Aug 27 • 13

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 72
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20 • 13

Papers - Decoders - Chain of Thought

Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20 • 13

Papers - CoT - Chain of Thought

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 37
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 99
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Paper • 2403.14624 • Published Mar 21 • 50
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20 • 13

Papers - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 62

Papers - Decoders

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding

Paper • 2205.10350 • Published May 20, 2022 • 2
Blockwise Parallel Decoding for Deep Autoregressive Models

Paper • 1811.03115 • Published Nov 7, 2018 • 2
Fast Transformer Decoding: One Write-Head is All You Need

Paper • 1911.02150 • Published Nov 6, 2019 • 6
Sequence-Level Knowledge Distillation

Paper • 1606.07947 • Published Jun 25, 2016 • 2

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