Large Language Models Can Self-Improve in Long-context Reasoning
Paper
•
2411.08147
•
Published
•
66
Cheng YANG
Cheng-YANG
AI & ML interests
None yet
Recent Activity
upvoted
a
paper
about 1 month ago
From Denoising to Refining: A Corrective Framework for Vision-Language
Diffusion Model
upvoted
a
paper
11 months ago
URSA: Understanding and Verifying Chain-of-thought Reasoning in
Multimodal Mathematics
upvoted
a
paper
about 1 year ago
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's
Reasoning Capability
Organizations
None yet
authored
4
papers
about 1 year ago
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models
Paper
•
2308.06507
•
Published
•
1
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
Paper
•
2406.20015
•
Published
•
1
A Survey on the Honesty of Large Language Models
Paper
•
2409.18786
•
Published
•
32
authored
3
papers
over 1 year ago
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast
Paper
•
2405.14507
•
Published
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
Paper
•
2406.09961
•
Published
•
55
Specialist or Generalist? Instruction Tuning for Specific NLP Tasks
Paper
•
2310.15326
•
Published