Chenhao Tan
42 papers · 2011–2026 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Chenhao Tan?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yangqiaoyu Zhou, Samuel Carton, Shi Feng
18 papers
· 2020–2026
· EMNLP, ACL, NAACL
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HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation
ACL 2026
CLEAR: A Clinically Grounded Tabular Framework for Radiology Report Evaluation
EMNLP 2025
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions
NAACL 2025
GPT-4V Cannot Generate Radiology Reports Yet
NAACL 2025
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
ACL 2025
Causal Micro-Narratives
EMNLP 2024
Hypothesis Generation with Large Language Models
EMNLP 2024
FLamE: Few-shot Learning from Natural Language Explanations
ACL 2023
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
NeurIPS 2023
Language of Bargaining
ACL 2023
Learning Human-Compatible Representations for Case-Based Decision Support
ICLR 2023
Learning to Ignore Adversarial Attacks
EACL 2023
Active Example Selection for In-Context Learning
EMNLP 2022
Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data
NAACL 2022
Human-Centered Evaluation of Explanations
NAACL 2022
What to Learn, and How: Toward Effective Learning from Rationales
ACL 2022
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI
EMNLP 2021
Evaluating and Characterizing Human Rationales
EMNLP 2020
12 papers whose co-authors appear nowhere else under this name
MoVa: Towards Generalizable Classification of Human Morals and Values
EMNLP 2025
The Impossibility of Fair LLMs
ACL 2025
Explanation in the Era of Large Language Models
NAACL 2024
Ecologically Valid Explanations for Label Variation in NLI
EMNLP 2023
On the Diversity and Limits of Human Explanations
NAACL 2022
Probing Classifiers are Unreliable for Concept Removal and Detection
NeurIPS 2022
On Positivity Bias in Negative Reviews
ACL 2021
Ask not what AI can do, but what AI should do: Towards a framework of task delegability
NeurIPS 2019
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification
EMNLP 2019
No Permanent Friends or Enemies: Tracking Relationships between Nations from News
NAACL 2019
What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments
EMNLP 2019
Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora
ACL 2011