CV
Basics
| Name | Tinghui Zhu |
| Label | CS Master Student at Fudan University |
| darthzhu@gmail.com |
Education
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2022.09 - 2025.06 Shanghai, China
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2018.09 - 2022.06 Shanghai, China
Experiences
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2024.04 - now Remote
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2023.07 - 2024.02 Remote
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2022.06 - 2023.03 Shanghai, China
Awards
- 2023.10
Publications
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2025.03.04 MciteBench: A Benchmark for Multimodal Citation Text Generation in MLLMs
arxiv
We introduce MCiteBench, the first benchmark designed to evaluate and analyze the multimodal citation text generation ability of MLLMs. Our benchmark comprises data derived from academic papers and review-rebuttal interactions, featuring diverse information sources and multimodal content.
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2024.10.04 Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models
arxiv
We formally define the problem of cross-modality parametric knowledge conflicts by systematically detecing, interpreting, and mitigating them.
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2024.04.28 From Persona to Personalization: A Survey on Role-Playing Language Agents
TMLR
A survey on Role-Playing Language Agents.
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2024.04.04 How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?
COLM 2024
We present a comprehensive investigation into the robustness of LLMs to different types of irrelevant information under various conditions.
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2024.02.02 TravelPlanner: A Benchmark for Real-World Planning with Language Agents
ICML 2024 Spotlight
We propose TravelPlanner, a new planning benchmark that focuses on travel planning, a common real-world planning scenario. It provides a rich sandbox environment, various tools for accessing nearly four million data records, and 1,225 meticulously curated planning intents and reference plans.
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2024.01.31 Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning
COLM 2024
Deductive Beam Search, constrained by the principle of deductive reasoning, integrates CoT with step-wise beam search to guide reasoning towards a deducible path.
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2023.10.27 Towards Visual Taxonomy Expansion
ACMMM 2023
We propose Visual Taxonomy Expansion (VTE), introducing visual features into the taxonomy expansion task.
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2023.10.14 SLR:A Million-Scale Comprehensive Crossword Dataset for Simultaneous Learning and Reasoning
Neurocomputing
We propose a novel crossword-based NLU task that imparts knowledge information to a model by solving crossword clues and simultaneously trains the model to infer new knowledge from existing knowledge.