LatticeRnn: Recurrent Neural Networks Over Lattices. - Faisal Ladhak; Ankur Gandhe; Markus Dreyer; Lambert Mathias; Ariya Rastrow; Björn Hoffmeister (INTERSPEECH, 2016)

A neural interlingua for multilingual machine translation. - Yichao Lu; Phillip Keung; Faisal Ladhak; Vikas Bhardwaj; Shaonan Zhang; Jason Sun (WMT, 2018)

Determining Relative Argument Specificity and Stance for Complex Argumentative Structures. - Esin Durmus; Faisal Ladhak; Claire Cardie (ACL (1), 2019)

The Role of Pragmatic and Discourse Context in Determining Argument Impact. - Esin Durmus; Faisal Ladhak; Claire Cardie (EMNLP/IJCNLP (1), 2019)

Exploring Content Selection in Summarization of Novel Chapters. - Faisal Ladhak; Bryan Li; Yaser Al-Onaizan; Kathleen R. McKeown (ACL, 2020)

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging. - Kasturi Bhattacharjee; Miguel Ballesteros; Rishita Anubhai; Smaranda Muresan; Jie Ma 005; Faisal Ladhak; Yaser Al-Onaizan (EMNLP (1), 2020)

WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization. - Faisal Ladhak; Esin Durmus; Claire Cardie; Kathleen R. McKeown (EMNLP (Findings), 2020)

Incorporating Terminology Constraints in Automatic Post-Editing. - David Wan; Chris Kedzie; Faisal Ladhak; Marine Carpuat; Kathleen R. McKeown (WMT@EMNLP, 2020)

WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization. - Faisal Ladhak; Esin Durmus; Claire Cardie; Kathleen R. McKeown (CoRR, 2020)

Segmenting Subtitles for Correcting ASR Segmentation Errors. - David Wan; Chris Kedzie; Faisal Ladhak; Elsbeth Turcan; Petra Galuscáková; Elena Zotkina; Zhengping Jiang; Peter Bell 001; Kathleen R. McKeown (EACL, 2021)

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Sebastian Gehrmann; Tosin P. Adewumi; Karmanya Aggarwal; Pawan Sasanka Ammanamanchi; Aremu Anuoluwapo; Antoine Bosselut; Khyathi Raghavi Chandu; Miruna-Adriana Clinciu; Dipanjan Das 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

Spurious Correlations in Reference-Free Evaluation of Text Generation. - Esin Durmus; Faisal Ladhak; Tatsunori Hashimoto (ACL (1), 2022)

Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization. - Faisal Ladhak; Esin Durmus; He He 001; Claire Cardie; Kathleen R. McKeown (ACL (1), 2022)

Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization. - Elsbeth Turcan; David Wan; Faisal Ladhak; Petra Galuscáková; Sukanta Sen; Svetlana Tchistiakova; Weijia Xu; Marine Carpuat; Kenneth Heafield; Douglas W. Oard; Kathleen R. McKeown (COLING, 2022)

ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. - Badr AlKhamissi; Faisal Ladhak; Srini Iyer 001; Veselin Stoyanov; Zornitsa Kozareva; Xian Li 003; Pascale Fung; Lambert Mathias; Asli Celikyilmaz; Mona T. Diab (EMNLP, 2022)

Improving Faithfulness by Augmenting Negative Summaries from Fake Documents. - Tianshu Wang; Faisal Ladhak; Esin Durmus; He He 001 (EMNLP, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection. - Hardy Hardy; Miguel Ballesteros; Faisal Ladhak; Muhammad Khalifa; Vittorio Castelli; Kathleen R. McKeown (CoRR, 2022)

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing. - Divyansh Agarwal; Alexander R. Fabbri; Simeng Han; Wojciech Kryscinski; Faisal Ladhak; Bryan Li; Kathleen R. McKeown; Dragomir Radev; Tianyi Zhang; Sam Wiseman (CoRR, 2022)

Tracing and Removing Data Errors in Natural Language Generation Datasets. - Faisal Ladhak; Esin Durmus; Tatsunori Hashimoto (CoRR, 2022)

Generating EDU Extracts for Plan-Guided Summary Re-Ranking. - Griffin Adams; Alexander R. Fabbri; Faisal Ladhak; Noémie Elhadad; Kathleen R. McKeown (ACL (1), 2023)

Contrastive Error Attribution for Finetuned Language Models. - Faisal Ladhak; Esin Durmus; Tatsunori Hashimoto (ACL (1), 2023)

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. - Faisal Ladhak; Esin Durmus; Mirac Suzgun; Tianyi Zhang; Dan Jurafsky; Kathleen R. McKeown; Tatsunori Hashimoto (EACL, 2023)

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. - Federico Bianchi 001; Pratyusha Kalluri; Esin Durmus; Faisal Ladhak; Myra Cheng; Debora Nozza; Tatsunori Hashimoto; Dan Jurafsky; James Zou 001; Aylin Caliskan (FAccT, 2023)

Whose Opinions Do Language Models Reflect? - Shibani Santurkar; Esin Durmus; Faisal Ladhak; Cinoo Lee; Percy Liang; Tatsunori Hashimoto (ICML, 2023)

From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting. - Griffin Adams; Alexander R. Fabbri; Faisal Ladhak; Eric Lehman; Noémie Elhadad (CoRR, 2023)

Evaluating Human-Language Model Interaction. - Mina Lee 002; Megha Srivastava; Amelia Hardy; John Thickstun; Esin Durmus; Ashwin Paranjape; Ines Gerard-Ursin; Xiang Lisa Li; Faisal Ladhak; Frieda Rong; Rose E. Wang; Minae Kwon; et al. (Trans. Mach. Learn. Res., 2023)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

Faithfulness in Abstractive Summarization: Progress and Challenges - Faisal Ladhak (2023)

Aligning Large Language Models via Fine-grained Supervision. - Dehong Xu; Liang Qiu; Minseok Kim; Faisal Ladhak; Jaeyoung Do (ACL (Short Papers), 2024)

STORYSUMM: Evaluating Faithfulness in Story Summarization. - Melanie Subbiah; Faisal Ladhak; Akankshya Mishra; Griffin Adams; Lydia B. Chilton; Kathleen R. McKeown (EMNLP, 2024)

Proving Test Set Contamination in Black-Box Language Models. - Yonatan Oren; Nicole Meister; Niladri S. Chatterji; Faisal Ladhak; Tatsunori Hashimoto (ICLR, 2024)

Incorporating Human Explanations for Robust Hate Speech Detection. - Jennifer L. Chen; Faisal Ladhak; Daniel Li; Noémie Elhadad (CoRR, 2024)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference. - Benjamin Warner; Antoine Chaffin; Benjamin Clavié; Orion Weller; Oskar Hallström; Said Taghadouini; Alexis Gallagher; Raja Biswas; Faisal Ladhak; Tom Aarsen; Nathan Cooper; Griffin Adams; et al. (CoRR, 2024)

Benchmarking Large Language Models for News Summarization. - Tianyi Zhang; Faisal Ladhak; Esin Durmus; Percy Liang; Kathleen R. McKeown; Tatsunori B. Hashimoto (Trans. Assoc. Comput. Linguistics, 2024)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference. - Benjamin Warner; Antoine Chaffin; Benjamin Clavié; Orion Weller; Oskar Hallström; Said Taghadouini; Alexis Gallagher; Raja Biswas; Faisal Ladhak; Tom Aarsen; Griffin Thomas Adams; Jeremy Howard; et al. (ACL (1), 2025)

L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution. - Simeng Sun; Cheng-Ping Hsieh; Faisal Ladhak; Erik Arakelyan; Santiago Akle Serano; Boris Ginsburg (CoRR, 2025)

SWAN-GPT: An Efficient and Scalable Approach for Long-Context Language Modeling. - Krishna C. Puvvada; Faisal Ladhak; Santiago Akle Serrano; Cheng-Ping Hsieh; Shantanu Acharya; Somshubra Majumdar; Fei Jia; Samuel Kriman; Simeng Sun; Dima Rekesh; Boris Ginsburg (CoRR, 2025)

Many-Turn Jailbreaking. - Xianjun Yang; Liqiang Xiao; Shiyang Li; Faisal Ladhak; Hyokun Yun; Linda Ruth Petzold; Yi Xu; William Yang Wang (CoRR, 2025)