conftrace_

Mohit Iyyer

88 papers · 2014–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (11) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (35) 🀝 Dynamic Duo (17) πŸ”¬ Deep Specialist (17) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (341) πŸš€ Conference Pioneer ⚑ Prolific Year (9) ❓ The Questioner (7) πŸ”₯ Unstoppable (12) πŸ’Ž Century Club (86)

Conferences

EMNLP (35) ACL (20) NAACL (15) IJCNLP (6) EACL (5) ICLR (3) AACL (1) CVPR (1) ICML (1) NIPS (1)

Research topics

Papers

Frankentext: Stitching random text fragments into long-form narratives ACL 2026 AI use in American newspapers is widespread, uneven, and rarely disclosed ACL 2026 VeriFastScore: Speeding up long-form factuality evaluation EMNLP 2025 People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text ACL 2025 CaLMQA: Exploring culturally specific long-form question answering across 23 languages ACL 2025 Literary Evidence Retrieval via Long-Context Language Models ACL 2025 Localizing and Mitigating Errors in Long-form Question Answering ACL 2025 OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature EMNLP 2025 Whose story is it? Personalizing story generation by inferring author styles AACL 2025 Does quantization affect models’ performance on long-context tasks? EMNLP 2025 Whose story is it? Personalizing story generation by inferring author styles IJCNLP 2025 Suri: Multi-constraint Instruction Following in Long-form Text Generation EMNLP 2024 TopicGPT: A Prompt-based Topic Modeling Framework NAACL 2024 PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents EACL 2024 How Does In-Context Learning Help Prompt Tuning? EACL 2024 One Thousand and One Pairs: A β€œnovel” challenge for long-context language models EMNLP 2024 PostMark: A Robust Blackbox Watermark for Large Language Models EMNLP 2024 BooookScore: A systematic exploration of book-length summarization in the era of LLMs ICLR 2024 Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation ACL 2024 FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ACL 2024 VeriScore: Evaluating the factuality of verifiable claims in long-form text generation EMNLP 2024 GEE! Grammar Error Explanation with Large Language Models NAACL 2024 A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games EMNLP 2023 FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation EMNLP 2023 Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense NIPS 2023 A Critical Evaluation of Evaluations for Long-form Question Answering ACL 2023 LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization EACL 2023 ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution EACL 2023 Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist EMNLP 2023 PaRaDe: Passage Ranking using Demonstrations with LLMs EMNLP 2023 kNN-LM Does Not Improve Open-ended Text Generation EMNLP 2023 SLING: Sino Linguistic Evaluation of Large Language Models EMNLP 2022 RELiC: Retrieving Evidence for Literary Claims ACL 2022 How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge? ACL 2022 RankGen: Improving Text Generation with Large Ranking Models EMNLP 2022 Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation EMNLP 2022 DEMETR: Diagnosing Evaluation Metrics for Translation EMNLP 2022 Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature EMNLP 2022 You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM EMNLP 2022 Modeling Exemplification in Long-form Question Answering via Retrieval NAACL 2022 ChapterBreak: A Challenge Dataset for Long-Range Language Models NAACL 2022 Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models ACL 2021 Changing the Mind of Transformers for Topically-Controllable Language Generation EACL 2021 Predicting in-hospital mortality by combining clinical notes with time-series data ACL 2021 Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration EMNLP 2021 STraTA: Self-Training with Task Augmentation for Better Few-shot Learning EMNLP 2021 Improved Latent Tree Induction with Distant Supervision via Span Constraints EMNLP 2021 The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation EMNLP 2021 Do Long-Range Language Models Actually Use Long-Range Context? EMNLP 2021 Revisiting Simple Neural Probabilistic Language Models NAACL 2021 IGA: An Intent-Guided Authoring Assistant EMNLP 2021 Hurdles to Progress in Long-form Question Answering NAACL 2021 TABBIE: Pretrained Representations of Tabular Data NAACL 2021 Predicting in-hospital mortality by combining clinical notes with time-series data IJCNLP 2021 Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models IJCNLP 2021 Exploring and Predicting Transferability across NLP Tasks EMNLP 2020 Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders EMNLP 2020 Reformulating Unsupervised Style Transfer as Paraphrase Generation EMNLP 2020 Hard-Coded Gaussian Attention for Neural Machine Translation ACL 2020 Thieves on Sesame Street! Model Extraction of BERT-based APIs ICLR 2020 STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation EMNLP 2020 Analyzing Gender Bias within Narrative Tropes EMNLP 2020 Proceedings of the First Workshop on Narrative Understanding NAACL 2019 Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts EMNLP 2019 Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders IJCNLP 2019 Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts IJCNLP 2019 Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders NAACL 2019 Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism NAACL 2019 Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification ACL 2019 Syntactically Supervised Transformers for Faster Neural Machine Translation ACL 2019 Generating Question-Answer Hierarchies ACL 2019 Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders EMNLP 2019 Deep contextualized word representations ICLR 2018 QuAC: Question Answering in Context EMNLP 2018 Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018 Adversarial Example Generation with Syntactically Controlled Paraphrase Networks NAACL 2018 Deep Contextualized Word Representations NAACL 2018 Learning to Color from Language NAACL 2018 Revisiting the Importance of Encoding Logic Rules in Sentiment Classification EMNLP 2018 The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives CVPR 2017 Search-based Neural Structured Learning for Sequential Question Answering ACL 2017 Ask Me Anything: Dynamic Memory Networks for Natural Language Processing ICML 2016 Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships NAACL 2016 Deep Unordered Composition Rivals Syntactic Methods for Text Classification ACL 2015 Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers NAACL 2015 Deep Unordered Composition Rivals Syntactic Methods for Text Classification IJCNLP 2015 Political Ideology Detection Using Recursive Neural Networks ACL 2014 A Neural Network for Factoid Question Answering over Paragraphs EMNLP 2014