Learning Alignments and Leveraging Natural Logic. - Nathanael Chambers; Daniel M. Cer; Trond Grenager; David Hall 006; Chloé Kiddon; Bill MacCartney; Marie-Catherine de Marneffe; Daniel Ramage; Eric Yeh; Christopher D. Manning (ACL-PASCAL@ACL, 2007)

Studying the History of Ideas Using Topic Models. - David Hall 006; Daniel Jurafsky; Christopher D. Manning (EMNLP, 2008)

Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. - Daniel Ramage; David Hall 006; Ramesh Nallapati; Christopher D. Manning (EMNLP, 2009)

Finding Cognate Groups Using Phylogenies. - David Hall 006; Dan Klein 001 (ACL, 2010)

Optimal Graph Search with Iterated Graph Cuts. - David Burkett; David Hall 006; Dan Klein 001 (AAAI, 2011)

Large-Scale Cognate Recovery. - David Hall 006; Dan Klein 001 (EMNLP, 2011)

Training Factored PCFGs with Expectation Propagation. - David Hall 006; Dan Klein 001 (EMNLP-CoNLL, 2012)

Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output. - Jonathan K. Kummerfeld; David Hall 006; James R. Curran; Dan Klein 001 (EMNLP-CoNLL, 2012)

Decentralized Entity-Level Modeling for Coreference Resolution. - Greg Durrett; David Hall 006; Dan Klein 001 (ACL (1), 2013)

Faster Optimal Planning with Partial-Order Pruning. - David Leo Wright Hall; Alon Cohen; David Burkett; Dan Klein 001 (ICAPS, 2013)

A Multi-Teraflop Constituency Parser using GPUs. - John F. Canny; David Hall 006; Dan Klein 001 (EMNLP, 2013)

Automated reconstruction of ancient languages using probabilistic models of sound change. - Alexandre Bouchard-Côté; David Hall 006; Thomas L. Griffiths 001; Dan Klein 001 (Proc. Natl. Acad. Sci. USA, 2013)

Sparser, Better, Faster GPU Parsing. - David Hall 006; Taylor Berg-Kirkpatrick; Dan Klein 001 (ACL (1), 2014)

Less Grammar, More Features. - David Hall 006; Greg Durrett; Dan Klein 001 (ACL (1), 2014)

Refinements in Syntactic Parsing. - David Hall 006 (2015)

Task-Oriented Dialogue as Dataflow Synthesis. - Jacob Andreas; John Bufe; David Burkett; Charles Chen; Josh Clausman; Jean Crawford; Kate Crim; Jordan DeLoach; Leah Dorner; Jason Eisner; Hao Fang 002; Alan Guo; et al. (Trans. Assoc. Comput. Linguistics, 2020)

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP. - Omar Khattab; Keshav Santhanam; Xiang Lisa Li; David Hall 006; Percy Liang; Christopher Potts; Matei Zaharia (CoRR, 2022)

Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training. - Hong Liu; Zhiyuan Li 005; David Leo Wright Hall; Percy Liang; Tengyu Ma 001 (ICLR, 2024)

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text. - Elliot Bolton; Abhinav Venigalla; Michihiro Yasunaga; David Hall 006; Betty Xiong; Tony Lee; Roxana Daneshjou; Jonathan Frankle; Percy Liang; Michael Carbin; Christopher D. Manning (CoRR, 2024)

Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective. - Kaiyue Wen; Zhiyuan Li 005; Jason S. Wang; David Hall 006; Percy Liang; Tengyu Ma 001 (CoRR, 2024)

Anticipatory Music Transformer. - John Thickstun; David Leo Wright Hall; Chris Donahue; Percy Liang (Trans. Mach. Learn. Res., 2024)

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning. - Anh Tong; Thanh Nguyen-Tang; Dongeun Lee 001; Duc Nguyen; Toan M. Tran; David Leo Wright Hall; Cheongwoong Kang; Jaesik Choi (ICLR, 2025)

Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View. - Kaiyue Wen; Zhiyuan Li 005; Jason S. Wang; David Leo Wright Hall; Percy Liang; Tengyu Ma 001 (ICLR, 2025)