Chenhao Tan

43 papers · 2011–2025 · 7 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (88) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (9) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (14) 🌟 Keyword Trendsetter Combo (3) 🧬 Topic Evolution 🏆 Keyword Champion 🔬 Deep Specialist (10) 📈 Trend Setter ⚡ Prolific Year (6) 💎 Century Club (43) 🔥 Unstoppable (9) ❓ The Questioner (2) 🗃️ Keyword Collector (190)

Conferences

EMNLP (15) ACL (13) NAACL (7) IJCNLP (3) NIPS (3) EACL (1) ICLR (1)

Top co-authors

Yangqiaoyu Zhou (5) Noah A. Smith (4) Samuel Carton (4) Chacha Chen (3) Shi Feng (3) Hongyuan Mei (3) Mourad Heddaya (3) Yiming Zhang (3) Chao-Chun Hsu (3) Madhusudhan Aithal (2)

Research topics

Cognitive Science (1)

Keywords

large language model (9) text classification (7) few-shot learning (6) natural language processing (4) natural language explanation (4) model explanation (4) natural language inference (4) human annotation (3) human rationale (2) word-level prediction (2) post-hoc method (2) bias evaluation (2) text mining (2) clinical note (2) explanation generation (2) model interpretability (2) attention mechanism (2) feature importance (2) opinion mining (2) hypothesis generation (2)

Papers

Literature Meets Data: A Synergistic Approach to Hypothesis Generation ACL 2025

CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions NAACL 2025

CLEAR: A Clinically Grounded Tabular Framework for Radiology Report Evaluation EMNLP 2025

From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes EMNLP 2025

MoVa: Towards Generalizable Classification of Human Morals and Values EMNLP 2025

GPT-4V Cannot Generate Radiology Reports Yet NAACL 2025

The Impossibility of Fair LLMs ACL 2025

CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support ACL 2024

Causal Micro-Narratives EMNLP 2024

Explanation in the Era of Large Language Models NAACL 2024

Hypothesis Generation with Large Language Models EMNLP 2024

Learning Human-Compatible Representations for Case-Based Decision Support ICLR 2023

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning NIPS 2023

FLamE: Few-shot Learning from Natural Language Explanations ACL 2023

Language of Bargaining ACL 2023

Learning to Ignore Adversarial Attacks EACL 2023

Entity-Based Evaluation of Political Bias in Automatic Summarization EMNLP 2023

Ecologically Valid Explanations for Label Variation in NLI EMNLP 2023

On the Diversity and Limits of Human Explanations NAACL 2022

Human-Centered Evaluation of Explanations NAACL 2022

Active Example Selection for In-Context Learning EMNLP 2022

Probing Classifiers are Unreliable for Concept Removal and Detection NIPS 2022

What to Learn, and How: Toward Effective Learning from Rationales ACL 2022

Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data NAACL 2022

On Positivity Bias in Negative Reviews IJCNLP 2021

On Positivity Bias in Negative Reviews ACL 2021

Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI EMNLP 2021

Decision-Focused Summarization EMNLP 2021

Evaluating and Characterizing Human Rationales EMNLP 2020

Characterizing the Value of Information in Medical Notes EMNLP 2020

No Permanent Friends or Enemies: Tracking Relationships between Nations from News NAACL 2019

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification EMNLP 2019

What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments EMNLP 2019

What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments IJCNLP 2019

Ask not what AI can do, but what AI should do: Towards a framework of task delegability NIPS 2019

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification IJCNLP 2019

Neural Models for Documents with Metadata ACL 2018

LSTMs Exploit Linguistic Attributes of Data ACL 2018

Dynamic Entity Representations in Neural Language Models EMNLP 2017

Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts ACL 2017

A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication ACL 2014

The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter ACL 2014

Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora ACL 2011