matlok
's Collections
Papers - Reasoning
updated
Same Task, More Tokens: the Impact of Input Length on the Reasoning
Performance of Large Language Models
Paper
•
2402.14848
•
Published
•
17
Teaching Large Language Models to Reason with Reinforcement Learning
Paper
•
2403.04642
•
Published
•
42
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper
•
2403.04732
•
Published
•
18
Learning to Reason and Memorize with Self-Notes
Paper
•
2305.00833
•
Published
•
4
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper
•
2402.03620
•
Published
•
102
Take a Step Back: Evoking Reasoning via Abstraction in Large Language
Models
Paper
•
2310.06117
•
Published
•
3
Gemini: A Family of Highly Capable Multimodal Models
Paper
•
2312.11805
•
Published
•
44
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper
•
2309.11495
•
Published
•
37
Large Language Models Cannot Self-Correct Reasoning Yet
Paper
•
2310.01798
•
Published
•
30
Orca 2: Teaching Small Language Models How to Reason
Paper
•
2311.11045
•
Published
•
68
Advancing LLM Reasoning Generalists with Preference Trees
Paper
•
2404.02078
•
Published
•
41
I am a Strange Dataset: Metalinguistic Tests for Language Models
Paper
•
2401.05300
•
Published
•
4
Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil
Cognitive Depth in LLMs
Paper
•
2312.17080
•
Published
•
1
Learning From Mistakes Makes LLM Better Reasoner
Paper
•
2310.20689
•
Published
•
24
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper
•
2201.11903
•
Published
•
7
Premise Order Matters in Reasoning with Large Language Models
Paper
•
2402.08939
•
Published
•
23
Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Paper
•
2306.02707
•
Published
•
45
Instruction Tuning with Human Curriculum
Paper
•
2310.09518
•
Published
•
3
Contrastive Chain-of-Thought Prompting
Paper
•
2311.09277
•
Published
•
31
Toward Self-Improvement of LLMs via Imagination, Searching, and
Criticizing
Paper
•
2404.12253
•
Published
•
49