Yichang Zhang
13 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Keywords
large language model
(8)
in-context learning
(2)
language model
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benchmark evaluation
(2)
transfer learning
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mathematical reasoning
(1)
convergence analysis
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probabilistic inference
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image captioning
(1)
vision-language model
(1)
multimodal learning
(1)
code generation
(1)
instruction tuning
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knowledge graph
(1)
reward model
(1)
synthetic data
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knowledge distillation
(1)
end-to-end learning
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probabilistic modeling
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model compression
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Papers
MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
ACL 2026
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
ACL 2026
A Probabilistic Inference Scaling Theory for LLM Self-Correction
EMNLP 2025
CodeArena: Evaluating and Aligning CodeLLMs on Human Preference
EMNLP 2025
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs
ACL 2025
HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning
ACL 2025
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models
ICLR 2025
RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing
EMNLP 2025
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
EMNLP 2024
Transferring General Multimodal Pretrained Models to Text Recognition
ACL 2023
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains
ACL 2021
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation
ACL 2021
Towards Knowledge-Based Recommender Dialog System
EMNLP 2019