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Wenxuan Ding

Observed name: Ding, Wenxuan
Institution: New York University
OpenAlex ID: A5104330980
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
2024 · Shangbin Feng, Weijia Shi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 40
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CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
2023 · Weiqi Wang, Tianqing Fang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 19
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CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
2024 · Weiqi Wang, Tianqing Fang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 11
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Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
2024 · Feng, Shangbin, Shi, Weijia, et al. · arXiv (Cornell University) · 6
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ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
2025 · Liyan Tang, Grace Kim, et al. · neural information processing systems · 4
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Teaching LLMs to Abstain across Languages via Multilingual Feedback
2024 · Shangbin Feng, Weijia Shi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4
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QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering
2023 · Haochen Shi, Weiqi Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 3
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When One LLM Drools, Multi-LLM Collaboration Rules
2026 · Shangbin Feng, Wenxuan Ding, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
2024 · Wang, Weiqi, Fang, Tianqing, et al. · arXiv (Cornell University) · 1
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CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
2024 · Wang, Weiqi, Fang, Tianqing, et al. · arXiv (Cornell University) · 1
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Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
2024 · Wenxuan Ding, Shangbin Feng, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
2024 · Wenxuan Ding, Weiqi Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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Harness-Delta Attribution: Dissecting Gains From Harness Evolution
2026 · Ding, Wenxuan, Lu, Qin, et al. · arXiv (Cornell University)
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Reading, Not Manipulating: Leveraging Router Logits for Multimodal Safety in MoE Vision-Language Models
2026 · Yang, Ziyuan, Ding, Wenxuan, et al. · arXiv (Cornell University)
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Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems
2026 · Association for Computational Linguistics 2026, Ding, Wenxuan, et al. · Underline Science Inc.
When One LLM Drools, Multi-LLM Collaboration Rules
2026 · Association for Computational Linguistics 2026, Choi, Yejin, et al. · Underline Science Inc.
Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs
2026 · Association for Computational Linguistics 2026, Ding, Wenxuan, et al. · Underline Science Inc.
RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models
2025 · Rodriguez, Juan Diego, Ding, Wenxuan, et al. · arXiv (Cornell University)
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On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
2025 · Weiqi Wang, Tianqing Fang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Sparta Alignment: Collectively Aligning Multiple Language Models through Combat
2025 · Yuru Jiang, Wenxuan Ding, et al. · neural information processing systems
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Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only
2024 · Yao, Jihan, Ding, Wenxuan, et al. · arXiv (Cornell University)
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Teaching LLMs to Abstain across Languages via Multilingual Feedback
2024 · Feng, Shangbin, Shi, Weijia, et al. · arXiv (Cornell University)
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IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
2024 · Ding, Wenxuan, Wang, Weiqi, et al. · arXiv (Cornell University)
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Works count: 23
Citation count: 92
H-index: 4
I10-index: 3
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