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