NLPExplorer

He He

Number of Papers:- 47

Number of Citations:- 53

First ACL Paper:- 2012

Latest ACL Paper:- 2024

Venues:-

NAACL

CoNLL

EMNLP

TACL

ACL

EACL

RepL4NLP

dialdoc

IJCNLP

INLG

Co-Authors:-

Similar Authors:-

Leveraging Implicit Feedback from Deployment Data in Dialogue EACL

Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World F i n d i n g s - A C L

Guande Wu | Chen Zhao | Claudio Silva | He He |

Show Your Work with Confidence: Confidence Bands for Tuning Curves NAACL

Nicholas Lourie | Kyunghyun Cho | He He |

Parallel Structures in Pre-training Data Yield In-Context Learning ACL

Personas as a Way to Model Truthfulness in Language Models EMNLP

LLMs Are Prone to Fallacies in Causal Inference EMNLP

Nitish Joshi | Abulhair Saparov | Yixin Wang | He He |

How do decoding algorithms distribute information in dialogue responses? F i n d i n g s - E A C L

Saranya Venkatraman | He He | David Reitter |

Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining EACL

Creative Natural Language Generation EMNLP

Tuhin Chakrabarty | Vishakh Padmakumar | He He | Nanyun Peng |

Reward Gaming in Conditional Text Generation ACL

On the Relation between Sensitivity and Accuracy in In-Context Learning F i n d i n g s - E M N L P

Efficient Shapley Values Estimation by Amortization for Text Classification ACL

Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations ACL

An Investigation of the (In)effectiveness of Counterfactually Augmented Data ACL

Nitish Joshi | He He |

Meta-learning via Language Model In-context Tuning ACL

Proceedings of the 7th Workshop on Representation Learning for NLP ACL RepL4NLP

Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization ACL

Machine-in-the-Loop Rewriting for Creative Image Captioning NAACL

Vishakh Padmakumar | He He |

QuALITY: Question Answering with Long Input Texts, Yes! NAACL

Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning NAACL

Amortized Noisy Channel Neural Machine Translation INLG

Richard Yuanzhe Pang | He He | Kyunghyun Cho |

Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing EMNLP

Tuhin Chakrabarty | Vishakh Padmakumar | He He |

Improving Faithfulness by Augmenting Negative Summaries from Fake Documents EMNLP

Tianshu Wang | Faisal Ladhak | Esin Durmus | He He |

Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens EMNLP

Nitish Joshi | Xiang Pan | He He |

Unsupervised Extractive Summarization using Pointwise Mutual Information EACL

Vishakh Padmakumar | He He |

Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021) ACL IJCNLP dialdoc

Types of Out-of-Distribution Texts and How to Detect Them EMNLP

Udit Arora | William Huang | He He |

Robustness and Adversarial Examples in Natural Language Processing EMNLP

Kai-Wei Chang | He He | Robin Jia | Sameer Singh |

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization ACL

Esin Durmus | He He | Mona Diab |

An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models TACL

Lifu Tu | Garima Lalwani | Spandana Gella | He He |

Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual EMNLP WS

He He | Sheng Zha | Haohan Wang |

Pun Generation with Surprise NAACL

He He | Nanyun Peng | Percy Liang |

A Dynamic Strategy Coach for Effective Negotiation WS

Yiheng Zhou | He He | Alan W Black | Yulia Tsvetkov |

QuAC: Question Answering in Context EMNLP

Decoupling Strategy and Generation in Negotiation Dialogues EMNLP

He He | Derek Chen | Anusha Balakrishnan | Percy Liang |

Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer NAACL

Juncen Li | Robin Jia | He He | Percy Liang |

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context ACL

Urvashi Khandelwal | He He | Peng Qi | Dan Jurafsky |

Proceedings of The Third Workshop on Representation Learning for NLP ACL WS

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings ACL

He He | Anusha Balakrishnan | Mihail Eric | Percy Liang |

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation NAACL

He He | Jordan Boyd-Graber | Hal Daumé III |

Proceedings of the ACL 2016 Student Research Workshop ACL

He He | Tao Lei | Will Roberts |

Proceedings of the Workshop on Human-Computer Question Answering WS

Mohit Iyyer | He He | Jordan Boyd-Graber | Hal Daumé III |

Syntax-based Rewriting for Simultaneous Machine Translation EMNLP

Hands-on Learning to Search for Structured Prediction NAACL

Don’t Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation EMNLP

Dynamic Feature Selection for Dependency Parsing EMNLP

He He | Hal Daumé III | Jason Eisner |

Besting the Quiz Master: Crowdsourcing Incremental Classification Games CoNLL EMNLP

Jordan Boyd-Graber | Brianna Satinoff | He He | Hal Daumé III |