Cheng YANG

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upvoted a paper 16 days ago

Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability

Paper • 2411.19943 • Published 20 days ago • 54

liked a dataset 29 days ago

ChartMimic/ChartMimic

Viewer • Updated Jun 17 • 1k • 187 • 13

authored a paper about 1 month ago

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12 • 62

upvoted a paper about 1 month ago

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12 • 62

authored 3 papers 3 months ago

AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models

Paper • 2308.06507 • Published Aug 12, 2023 • 1

ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models

Paper • 2406.20015 • Published Jun 28 • 1

A Survey on the Honesty of Large Language Models

Paper • 2409.18786 • Published Sep 27 • 31

commented a paper 3 months ago

A Survey on the Honesty of Large Language Models

Paper • 2409.18786 • Published Sep 27 • 31 •

3

upvoted a paper 3 months ago

A Survey on the Honesty of Large Language Models

Paper • 2409.18786 • Published Sep 27 • 31

upvoted a paper 6 months ago

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation

Paper • 2406.09961 • Published Jun 14 • 54

authored a paper 6 months ago

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast

Paper • 2405.14507 • Published May 23

commented 2 papers 6 months ago

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation

Paper • 2406.09961 • Published Jun 14 • 54 •

2

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation

Paper • 2406.09961 • Published Jun 14 • 54 •

2

authored 2 papers 6 months ago

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation

Paper • 2406.09961 • Published Jun 14 • 54

Specialist or Generalist? Instruction Tuning for Specific NLP Tasks

Paper • 2310.15326 • Published Oct 23, 2023