Daniel Khashabi

arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table Generation ACL 2026 Query Decomposition for RAG: Balancing Exploration-Exploitation EACL 2026 Benchmarking Language Model Creativity: A Case Study on Code Generation NAACL 2025 Certified Mitigation of Worst-Case LLM Copyright Infringement EMNLP 2025 Challenging the Evaluator: LLM Sycophancy Under User Rebuttal EMNLP 2025 CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers? EMNLP 2025 Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements ICLR 2025 Core: Robust Factual Precision with Informative Sub-Claim Identification ACL 2025 Evaluating the Evaluators: Are readability metrics good measures of readability? EMNLP 2025 GenEx: Generating an Explorable World ICLR 2025 ICL CIPHERS: Quantifying ”Learning” in In-Context Learning via Substitution Ciphers EMNLP 2025 Jailbreak Distillation: Renewable Safety Benchmarking EMNLP 2025 RATIONALYST: Pre-training Process-Supervision for Improving Reasoning ACL 2025 SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses AAAI 2025 SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning ICML 2025 The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure IJCNLP 2025 TurkingBench: A Challenge Benchmark for Web Agents NAACL 2025 Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets NAACL 2025 Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data NAACL 2025 WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment AAAI 2025 “According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data EACL 2024 AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies EMNLP 2024 DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation NeurIPS 2024 Efficient Large Multi-modal Models via Visual Context Compression NeurIPS 2024 Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models ICLR 2024 GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution EACL 2024 Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell EMNLP 2024 k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text ACL 2024 Position: Do pretrained Transformers Learn In-Context by Gradient Descent? ICML 2024 RORA: Robust Free-Text Rationale Evaluation ACL 2024 SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation NAACL 2024 The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts ACL 2024 The Trickle-down Impact of Reward Inconsistency on RLHF ICLR 2024 Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023 Generating Sequences by Learning to Self-Correct ICLR 2023 Representation Projection Invariance Mitigates Representation Collapse EMNLP 2023 Self-Instruct: Aligning Language Models with Self-Generated Instructions ACL 2023 The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks ACL 2023 When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories ACL 2023 COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics NeurIPS 2022 Cross-Task Generalization via Natural Language Crowdsourcing Instructions ACL 2022 GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation EMNLP 2022 Hey AI, Can You Solve Complex Tasks by Talking to Agents? ACL 2022 NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics NAACL 2022 Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL 2022 ProsocialDialog: A Prosocial Backbone for Conversational Agents EMNLP 2022 Reframing Instructional Prompts to GPTk’s Language ACL 2022 Time Waits for No One! Analysis and Challenges of Temporal Misalignment NAACL 2022 Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL 2021 Findings of the 2021 Conference on Machine Translation (WMT21) EMNLP 2021 GooAQ: Open Question Answering with Diverse Answer Types EMNLP 2021 Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models NAACL 2021 Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020 More Bang for Your Buck: Natural Perturbation for Robust Question Answering EMNLP 2020 Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses ACL 2020 Temporal Common Sense Acquisition with Minimal Supervision ACL 2020 TransOMCS: From Linguistic Graphs to Commonsense Knowledge IJCAI 2020 UNIFIEDQA: Crossing Format Boundaries with a Single QA System EMNLP 2020 UNQOVERing Stereotyping Biases via Underspecified Questions EMNLP 2020 “Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding EMNLP 2019 PerspectroScope: A Window to the World of Diverse Perspectives ACL 2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop ACL 2019 Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims NAACL 2019 Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences NAACL 2018 Zero-Shot Open Entity Typing as Type-Compatible Grounding EMNLP 2018 Learning What is Essential in Questions CoNLL 2017 Better call Saul: Flexible Programming for Learning and Inference in NLP COLING 2016 Question Answering via Integer Programming over Semi-Structured Knowledge IJCAI 2016 Online Learning with Adversarial Delays NeurIPS 2015 Solving Hard Coreference Problems NAACL 2015