Publications

(2024). INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge. arXiv.

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(2024). Could ChatGPT get an engineering degree? Evaluating higher education vulnerability to AI assistants. Proceedings of the National Academy of Sciences (PNAS).

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(2024). Discovering Knowledge-Critical Subnetworks in Pretrained Language Models. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2024). Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2024). Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning. Findings of EMNLP.

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(2024). Instruction-tuning Aligns LLMs to the Human Brain. Conference on Language Modeling (COLM).

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(2024). "Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2024). DiffuCOMET: Contextual Commonsense Knowledge Diffusion. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL).

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(2024). Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL).

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(2024). Exploring Defeasibility in Causal Reasoning. Findings of the ACL.

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(2024). Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes. International Journal of Artificial Intelligence in Education (IJAIED).

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(2024). Course Recommender Systems Need to Consider the Job Market. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).

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(2024). ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI).

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(2024). ConGeo: Robust Cross-view Geo-localization across Ground View Variations. Proceedings of the European Conference on Computer Vision (ECCV).

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(2024). A Design Space for Intelligent and Interactive Writing Assistants. Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI).

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(2024). REFINER: Reasoning Feedback on Intermediate Representations. Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL).

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(2024). Large Language Models are Catalyzing Chemistry Education. chemRxiv.

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(2024). Improving Autoformalization using Type Checking. arXiv.

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(2024). Evaluating Language Model Agency through Negotiations. arXiv.

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(2024). Efficient Tool Use with Chain-of-Abstraction Reasoning. arXiv.

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(2024). ComperDial: Commonsense Persona-grounded Dialogue Dataset and Benchmark. arXiv.

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(2024). Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network. arXiv.

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(2024). Rethinking Skill Extraction in the Job Market Domain using Large Language Models. NLP4HR Workshop - EACL.

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(2024). JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching. NLP4HR Workshop - EACL.

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(2023). MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. arXiv.

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(2023). RECKONING: Reasoning through Dynamic Knowledge Encoding. Neural Information Processing Systems (NeurIPS).

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(2023). CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2023). Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2023). CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2023). Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention. Findings of EMNLP.

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(2023). CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering. Findings of EMNLP.

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(2023). PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL). Outstanding Paper Award.

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(2023). Mitigating Label Biases for In-context Learning. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL).

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(2023). DISCO: Distilling Counterfactuals with Large Language Models. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL).

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(2023). kogito: A Commonsense Knowledge Inference Toolkit. Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL) - Systems Demonstrations.

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(2022). ComFact: A Benchmark for Linking Contextual Commonsense Knowledge. Findings of EMNLP.

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(2022). Discovering Language-neutral Sub-networks in Multilingual Language Models. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2022). Conditional set generation using Seq2seq models. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2022). Deep Bidirectional Language-Knowledge Graph Pretraining. Advances in Neural Information Processing Systems (NeurIPS).

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(2022). Memory-Based Model Editing at Scale. Proceedings of the 39th International Conference on Machine Learning (ICML).

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(2022). GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. Proceedings of the 10th International Conference for Learning Representations (ICLR). Spotlight (Top 5%).

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(2022). Fast Model Editing at Scale. Proceedings of the 10th International Conference for Learning Representations (ICLR).

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(2022). End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management. IEEE/ACM Transactions on Audio Speech and Language (TASLP).

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(2022). Synthetic Disinformation Attacks on Automated Fact Verification Systems. Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI).

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(2021). Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2021). On the Opportunities and Risks of Foundation Models. arXiv.

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(2021). Analyzing Commonsense Emergence in Few-shot Knowledge Models. Proceedings of the 3rd Conference on Automated Knowledge Base Construction (AKBC).

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(2021). Edited Media Understanding Frames: Reasoning About the Intents and Implications of Visual Disinformation. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL).

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(2021). On-the-Fly Attention Modulation for Neural Generation. Findings of the ACL.

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(2021). QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. Proceedings of the 18th Meeting of the North American Association for Computational Linguistics (NAACL).

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(2021). I'm Not Mad: Commonsense Implications of Negation and Contradiction. Proceedings of the 18th Meeting of the North American Association for Computational Linguistics (NAACL).

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(2021). Discourse Understanding and Factual Consistency in Abstractive Summarization. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics.

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(2021). (Comet-)Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI).

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(2021). Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI).

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(2020). Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2020). Procedural Reading Comprehension with Attribute-Aware Context Flow. Proceedings of the 2nd Conference on Automated Knowledge Base Construction (AKBC). Best Paper Runner-up.

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(2020). Commonsense Knowledge Base Completion with Structural and Semantic Context. Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI).

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(2019). COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL).

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(2019). Efficient Adaptation of Pretrained Transformers for Abstractive Summarization. arXiv.

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(2019). Counterfactual Story Reasoning and Generation. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2019). Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2019). WIQA: A dataset for "What if..." reasoning over procedural text. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2019). Be Consistent! Improving Procedural Text Comprehension using Label Consistency. Proceedings of the 17th Annual Meeting of the North American Association for Computational Linguistics (NAACL).

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(2018). Simulating Action Dynamics with Neural Process Networks. Proceedings of the 6th International Conference for Learning Representations (ICLR).

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(2018). Discourse-Aware Neural Rewards for Coherent Text Generation. Proceedings of the 16th Annual Meeting of the North American Association for Computational Linguistics (NAACL).

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(2018). Deep Communicating Agents for Abstractive Summarization. Proceedings of the 16th Annual Meeting of the North American Association for Computational Linguistics (NAACL).

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(2018). Modeling Naive Psychology of Characters in Simple Commonsense Stories. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL).

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(2018). Learning to Write with Cooperative Discriminators. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL).

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(2018). Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2016). Learning Prototypical Event Structure from Photo Albums. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL).

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