← Authors

He He

65 papers · 2012–2025 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (234) ❓ The Questioner (5) πŸ’Ž Century Club (65) πŸ”₯ Unstoppable (14)

Conferences

EMNLP (17) ACL (14) NAACL (8) NIPS (8) ICLR (6) EACL (4) ICML (3) COLING (1) CONLL (1) IJCAI (1) IJCNLP (1) JMLR (1)

Top co-authors

Vishakh Padmakumar (11) Hal Daume III (10) Nitish Joshi (8) Richard Yuanzhe Pang (8) Jordan Boyd-Graber (6) Sheng Zha (6) Percy Liang (5) Abulhair Saparov (5) Yanda Chen (5) Kai-Wei Chang (4)

Keywords

text generation (9) large language model (9) language model (6) question answering (4) in-context learning (4) dialogue system (4) out-of-distribution generalization (4) distribution shift (4) reading comprehension (3) text classification (3) reinforcement learning (3) abstractive summarization (3) representation learning (3) creative writing (3) multi-agent system (3) natural language inference (3) instruction tuning (2) gradient descent (2) model evaluation (2) unsupervised learning (2)

Papers

Transformers Struggle to Learn to Search ICLR 2025
Language Models Learn to Mislead Humans via RLHF ICLR 2025
When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback ACL 2025
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning COLING 2025
Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats ICLR 2025
LLMs Are Prone to Fallacies in Causal Inference EMNLP 2024
Personas as a Way to Model Truthfulness in Language Models EMNLP 2024
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations ICML 2024
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models NIPS 2024
Iterative Reasoning Preference Optimization NIPS 2024
Show Your Work with Confidence: Confidence Bands for Tuning Curves NAACL 2024
Parallel Structures in Pre-training Data Yield In-Context Learning ACL 2024
Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World ACL 2024
Leveraging Implicit Feedback from Deployment Data in Dialogue EACL 2024
Does Writing with Language Models Reduce Content Diversity? ICLR 2024
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought ICLR 2023
Reward Gaming in Conditional Text Generation ACL 2023
On the Relation between Sensitivity and Accuracy in In-Context Learning EMNLP 2023
Creative Natural Language Generation EMNLP 2023
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples NIPS 2023
Efficient Shapley Values Estimation by Amortization for Text Classification ACL 2023
Extrapolative Controlled Sequence Generation via Iterative Refinement ICML 2023
Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining EACL 2023
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations ACL 2023
How do decoding algorithms distribute information in dialogue responses? EACL 2023
Improving Faithfulness by Augmenting Negative Summaries from Fake Documents EMNLP 2022
QuALITY: Question Answering with Long Input Texts, Yes! NAACL 2022
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing EMNLP 2022
SeqPATE: Differentially Private Text Generation via Knowledge Distillation NIPS 2022
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning NAACL 2022
Machine-in-the-Loop Rewriting for Creative Image Captioning NAACL 2022
Meta-learning via Language Model In-context Tuning ACL 2022
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization ACL 2022
An Investigation of the (In)effectiveness of Counterfactually Augmented Data ACL 2022
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens EMNLP 2022
Unsupervised Extractive Summarization using Pointwise Mutual Information EACL 2021
IRMβ€”when it works and when it doesn't: A test case of natural language inference NIPS 2021
Types of Out-of-Distribution Texts and How to Detect Them EMNLP 2021
Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021
Text Generation by Learning from Demonstrations ICLR 2021
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization ACL 2020
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing JMLR 2020
Partial Adversarial Behavior Deception in Security Games IJCAI 2020
Dive into Deep Learning for Natural Language Processing EMNLP 2019
Dive into Deep Learning for Natural Language Processing IJCNLP 2019
Pun Generation with Surprise NAACL 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual EMNLP 2019
Proceedings of the Third Workshop on Representation Learning for NLP ACL 2018
Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer NAACL 2018
Decoupling Strategy and Generation in Negotiation Dialogues EMNLP 2018
QuAC: Question Answering in Context EMNLP 2018
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context ACL 2018
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings ACL 2017
Opponent Modeling in Deep Reinforcement Learning ICML 2016
Proceedings of the ACL 2016 Student Research Workshop ACL 2016
Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation NAACL 2016
A Credit Assignment Compiler for Joint Prediction NIPS 2016
Hands-on Learning to Search for Structured Prediction NAACL 2015
Syntax-based Rewriting for Simultaneous Machine Translation EMNLP 2015
Learning to Search in Branch and Bound Algorithms NIPS 2014
Don’t Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation EMNLP 2014
Dynamic Feature Selection for Dependency Parsing EMNLP 2013
Besting the Quiz Master: Crowdsourcing Incremental Classification Games CONLL 2012
Imitation Learning by Coaching NIPS 2012
Besting the Quiz Master: Crowdsourcing Incremental Classification Games EMNLP 2012