PPaperPicks

Daniel Khashabi

32 papers at tracked venues · 17 at CORE A* · active 2024–2026

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Venues

EMNLP ×8ACL ×6NAACL ×5ICLR ×4NeurIPS ×3AAAI ×2ICML ×2EACL ×1ECIR ×1

Frequent coauthors

Benjamin Van Durme
×13
Jingyu Zhang
×12
Lingfeng Shen
×6
Tianjian Li
×5
Yining Lu
×4
Dongwei Jiang
×4
Kenton Murray
×3
Jiefu Ou
×3
Kate Sanders
×3
Zhengping Jiang
×3
Andrew Wang
×3
Haoran Xu
×3

Papers

  1. Principled Context Engineering for RAG: Statistical Guarantees via Conformal Prediction
    ECIR 2026 ·
    Debashish Chakraborty
    ,
    Eugene Yang
    , Daniel Khashabi,
    Dawn J. Lawrie
    ,
    Kevin Duh
  2. Query Decomposition for RAG: Balancing Exploration-Exploitation
    EACL 2026 ·
    Roxana Petcu
    ,
    Kenton Murray
    , Daniel Khashabi,
    Evangelos Kanoulas
    ,
    Maarten de Rijke
    ,
    Dawn J. Lawrie
    ,
    Kevin Duh
  3. arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table Generation
    ACL 2026 ·
    Weiqi Wang
    ,
    Jiefu Ou
    ,
    Yangqiu Song
    ,
    Benjamin Van Durme
    , Daniel Khashabi
  4. Benchmarking Language Model Creativity: A Case Study on Code Generation
    NAACL 2025 ·
    Yining Lu
    ,
    Dixuan Wang
    ,
    Tianjian Li
    ,
    Dongwei Jiang
    ,
    Sanjeev Khudanpur
    ,
    Meng Jiang
    , Daniel Khashabi
  5. CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?
    EMNLP 2025 ·
    Jiefu Ou
    ,
    William Gantt Walden
    ,
    Kate Sanders
    ,
    Zhengping Jiang
    ,
    Kaiser Sun
    ,
    Jeffrey Cheng
    ,
    William Jurayj
    ,
    Miriam Wanner
    ,
    Shaobo Liang
    ,
    Candice Morgan
    ,
    Seunghoon Han
    ,
    Weiqi Wang
    ,
    Chandler May
    ,
    Hannah Recknor
    , Daniel Khashabi,
    Benjamin Van Durme
  6. Certified Mitigation of Worst-Case LLM Copyright Infringement
    EMNLP 2025 ·
    Jingyu Zhang
    ,
    Jiacan Yu
    ,
    Marc Marone
    ,
    Benjamin Van Durme
    , Daniel Khashabi
  7. Challenging the Evaluator: LLM Sycophancy Under User Rebuttal
    EMNLP 2025 ·
    Sung Won Kim
    , Daniel Khashabi
  8. Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
    ICLR 2025 ·
    Jingyu Zhang
    ,
    Ahmed Elgohary
    ,
    Ahmed Magooda
    , Daniel Khashabi,
    Benjamin Van Durme
  9. Core: Robust Factual Precision with Informative Sub-Claim Identification
    ACL 2025 ·
    Zhengping Jiang
    ,
    Jingyu Zhang
    ,
    Nathaniel Weir
    ,
    Seth Ebner
    ,
    Miriam Wanner
    ,
    Kate Sanders
    , Daniel Khashabi,
    Anqi Liu
    ,
    Benjamin Van Durme
  10. Evaluating the Evaluators: Are readability metrics good measures of readability?
    EMNLP 2025 ·
    Isabel Cachola
    , Daniel Khashabi,
    Mark Dredze
  11. FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback
    NeurIPS 2025 ·
    Dongwei Jiang
    ,
    Bowei Zhang
    ,
    Andrew Wang
    ,
    Nicholas Andrews
    , Daniel Khashabi
  12. GenEx: Generating an Explorable World
    ICLR 2025 ·
    Taiming Lu
    ,
    Tianmin Shu
    ,
    Alan L. Yuille
    , Daniel Khashabi,
    Jieneng Chen
  13. ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers
    EMNLP 2025 ·
    Zhouxiang Fang
    ,
    Aayush Mishra
    ,
    Muhan Gao
    ,
    Anqi Liu
    , Daniel Khashabi
  14. Jailbreak Distillation: Renewable Safety Benchmarking
    EMNLP 2025 ·
    Jingyu Zhang
    ,
    Ahmed Elgohary
    ,
    Xiawei Wang
    ,
    A S. M. Iftekhar
    ,
    Ahmed Magooda
    ,
    Benjamin Van Durme
    , Daniel Khashabi,
    Kyle Jackson
  15. RATIONALYST: Pre-training Process-Supervision for Improving Reasoning
    ACL 2025 ·
    Dongwei Jiang
    ,
    Guoxuan Wang
    ,
    Yining Lu
    ,
    Andrew Wang
    ,
    Jingyu Zhang
    ,
    Chuyu Liu
    ,
    Benjamin Van Durme
    , Daniel Khashabi
  16. SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
    AAAI 2025 ·
    Dongwei Jiang
    ,
    Jingyu Zhang
    ,
    Orion Weller
    ,
    Nathaniel Weir
    ,
    Benjamin Van Durme
    , Daniel Khashabi
  17. SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning
    ICML 2025 ·
    Tianjian Li
    , Daniel Khashabi
  18. TurkingBench: A Challenge Benchmark for Web Agents
    NAACL 2025 ·
    Kevin Xu
    ,
    Yeganeh Kordi
    ,
    Tanay Nayak
    ,
    Adi Asija
    ,
    Yizhong Wang
    ,
    Kate Sanders
    ,
    Adam Byerly
    ,
    Jingyu Zhang
    ,
    Benjamin Van Durme
    , Daniel Khashabi
  19. Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
    NAACL 2025 ·
    Tianjian Li
    ,
    Haoran Xu
    ,
    Weiting Tan
    ,
    Kenton Murray
    , Daniel Khashabi
  20. Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
    NAACL 2025 ·
    Jingyu Zhang
    ,
    Marc Marone
    ,
    Tianjian Li
    ,
    Benjamin Van Durme
    , Daniel Khashabi
  21. WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment
    AAAI 2025 ·
    Jiefu Ou
    ,
    Arda Uzunoglu
    ,
    Benjamin Van Durme
    , Daniel Khashabi
  22. AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies
    EMNLP 2024 ·
    Xiao Ye
    ,
    Andrew Wang
    ,
    Jacob Choi
    ,
    Yining Lu
    ,
    Shreya Sharma
    ,
    Lingfeng Shen
    ,
    Vijay Murari Tiyyala
    ,
    Nicholas Andrews
    , Daniel Khashabi
  23. DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
    NeurIPS 2024 ·
    Weiting Tan
    ,
    Jingyu Zhang
    ,
    Lingfeng Shen
    , Daniel Khashabi,
    Philipp Koehn
  24. Efficient Large Multi-modal Models via Visual Context Compression
    NeurIPS 2024 ·
    Jieneng Chen
    ,
    Luoxin Ye
    ,
    Ju He
    ,
    Zhaoyang Wang
    , Daniel Khashabi,
    Alan L. Yuille
  25. Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
    ICLR 2024 ·
    Tianjian Li
    ,
    Haoran Xu
    ,
    Philipp Koehn
    , Daniel Khashabi,
    Kenton Murray
  26. Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell
    EMNLP 2024 ·
    Muhan Gao
    ,
    Taiming Lu
    ,
    Kuai Yu
    ,
    Adam Byerly
    , Daniel Khashabi
  27. Position: Do pretrained Transformers Learn In-Context by Gradient Descent?
    ICML 2024 ·
    Lingfeng Shen
    ,
    Aayush Mishra
    , Daniel Khashabi
  28. RORA: Robust Free-Text Rationale Evaluation
    ACL 2024 ·
    Zhengping Jiang
    ,
    Yining Lu
    ,
    Hanjie Chen
    , Daniel Khashabi,
    Benjamin Van Durme
    ,
    Anqi Liu
  29. SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation
    NAACL 2024 ·
    Abe Bohan Hou
    ,
    Jingyu Zhang
    ,
    Tianxing He
    ,
    Yichen Wang
    ,
    Yung-Sung Chuang
    ,
    Hongwei Wang
    ,
    Lingfeng Shen
    ,
    Benjamin Van Durme
    , Daniel Khashabi,
    Yulia Tsvetkov
  30. The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts
    ACL 2024 ·
    Lingfeng Shen
    ,
    Weiting Tan
    ,
    Sihao Chen
    ,
    Yunmo Chen
    ,
    Jingyu Zhang
    ,
    Haoran Xu
    ,
    Boyuan Zheng
    ,
    Philipp Koehn
    , Daniel Khashabi
  31. The Trickle-down Impact of Reward Inconsistency on RLHF
    ICLR 2024 ·
    Lingfeng Shen
    ,
    Sihao Chen
    ,
    Linfeng Song
    ,
    Lifeng Jin
    ,
    Baolin Peng
    ,
    Haitao Mi
    , Daniel Khashabi,
    Dong Yu
  32. k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text
    ACL 2024 ·
    Abe Bohan Hou
    ,
    Jingyu Zhang
    ,
    Yichen Wang
    , Daniel Khashabi,
    Tianxing He