Papers by Iris Zhang
Executing Instructions in Situated Collaborative Interactions (D19-1)
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Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi
| Challenge: | a collaborative game with natural language instruction allows users to adapt to the system abilities by changing their language or deciding to accomplish tasks themselves. |
| Approach: | They propose a collaborative game where a user instructs a system to complete tasks, but acts alongside it. |
| Outcome: | The proposed game allows users to adapt to the system abilities by changing their language or deciding to accomplish tasks themselves. |
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations (2025.emnlp-main)
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Benlu Wang, Iris Xia, Yifan Zhang, Junda Wang, null Feiyun Ouyang, Shuo Han, Arman Cohan, Hong Yu, Zonghai Yao
| Challenge: | Existing benchmarks assess only the final answer with a wide numerical tolerance, overlooking systematic reasoning failures and potentially causing serious clinical misjudgments. |
| Approach: | They propose a new step-by-step evaluation pipeline that assesses formula selection, entity extraction, and arithmetic computation. |
| Outcome: | The proposed method improves the accuracy of large language models on medical benchmarks from 16.35% to 53.19%. |
RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios (2022.naacl-demo)
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Xinya Du, Zixuan Zhang, Sha Li, Pengfei Yu, Hongwei Wang, Tuan Lai, Xudong Lin, Ziqi Wang, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Jie Lei, Hyounghun Kim, Rotem Dror, Haoyu Wang, Michael Regan, Qi Zeng, Qing Lyu, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Zhenhailong Wang, Chris Callison-Burch, Mohit Bansal, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Martha Palmer, Heng Ji
| Challenge: | Existing methods for event prediction are incomplete and noisy. |
| Approach: | They propose to use news-related event schemas to extract newsworthy events . they build a demo website and include a video demonstrating the framework . |
| Outcome: | The proposed framework can be applied to a wide variety of newsworthy scenarios. |
A Corpus for Reasoning about Natural Language Grounded in Photographs (P19-1)
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| Challenge: | a dataset for visual reasoning with natural language and images is available. |
| Approach: | They propose a dataset for joint reasoning about natural language and images . they crowdsource 107,292 examples of English sentences paired with web photographs . |
| Outcome: | The proposed dataset combines 107,292 examples of English sentences with web photographs . Qualitative analysis shows the data requires compositional joint reasoning . |