Lost in the Middle: How Language Models Use Long Contexts von Liu, Nelson F., Lin, Kevin, Hewitt, John, Paranjape, Ashwin, Bevilacqua, Michele, Petroni, Fabio, Liang, Percy

Volltext

Benchmarking Large Language Models for News Summarization von Zhang, Tianyi, Ladhak, Faisal, Durmus, Esin, Liang, Percy, McKeown, Kathleen, Hashimoto, Tatsunori B.

Volltext

Learning Dependency-Based Compositional Semantics von Liang, Percy, Jordan, Michael I., Klein, Dan

Volltext

Task-Oriented Dialogue as Dataflow Synthesis von Andreas, Jacob, Bufe, John, Burkett, David, Chen, Charles, Clausman, Josh, Crawford, Jean, Crim, Kate, DeLoach, Jordan, Dorner, Leah, Eisner, Jason, Fang, Hao, Guo, Alan, Hall, David, Hayes, Kristin, Hill, Kellie, Ho, Diana, Iwaszuk, Wendy, Jha, Smriti, Klein, Dan, Krishnamurthy, Jayant, Lanman, Theo, Liang, Percy, Lin, Christopher H., Lintsbakh, Ilya, McGovern, Andy, Nisnevich, Aleksandr, Pauls, Adam, Petters, Dmitrij, Read, Brent, Roth, Dan, Roy, Subhro, Rusak, Jesse, Short, Beth, Slomin, Div, Snyder, Ben, Striplin, Stephon, Su, Yu, Tellman, Zachary, Thomson, Sam, Vorobev, Andrei, Witoszko, Izabela, Wolfe, Jason, Wray, Abby, Zhang, Yuchen, Zotov, Alexander

Volltext

How do authors' perceptions of their papers compare with co-authors' perceptions and peer-review decisions? von Rastogi, Charvi, Stelmakh, Ivan, Beygelzimer, Alina, Dauphin, Yann N, Liang, Percy, Wortman Vaughan, Jennifer, Xue, Zhenyu, Daumé Iii, Hal, Pierson, Emma, Shah, Nihar B

Volltext

A Data Driven Approach for Algebraic Loop Invariants von Sharma, Rahul, Gupta, Saurabh, Hariharan, Bharath, Aiken, Alex, Liang, Percy, Nori, Aditya V.

Volltext

Holistic Evaluation of Language Models von Bommasani, Rishi, Liang, Percy, Lee, Tony

Volltext

Imitation Learning of Agenda-based Semantic Parsers von Berant, Jonathan, Liang, Percy

Volltext

Planning, Inference and Pragmatics in Sequential Language Games von Khani, Fereshte, Goodman, Noah D., Liang, Percy

Volltext

Stronger data poisoning attacks break data sanitization defenses von Koh, Pang Wei, Steinhardt, Jacob, Liang, Percy

Volltext

Ambitious Data Science Can Be Painless von Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, David Donoho

Volltext

Generating Sentences by Editing Prototypes von Guu, Kelvin, Hashimoto, Tatsunori B., Oren, Yonatan, Liang, Percy

Volltext

FrAngel: component-based synthesis with control structures von Shi, Kensen, Steinhardt, Jacob, Liang, Percy

Volltext

Bringing Machine Learning and Compositional Semantics Together von Liang, Percy, Potts, Christopher

Volltext

Considerations for governing open foundation models von Bommasani, Rishi, Kapoor, Sayash, Klyman, Kevin, Longpre, Shayne, Ramaswami, Ashwin, Zhang, Daniel, Schaake, Marietje, Ho, Daniel E, Narayanan, Arvind, Liang, Percy

Volltext

Trustworthy Social Bias Measurement von Bommasani, Rishi, Liang, Percy

Volltext bestellen

Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences von Shrivastava, Vaishnavi, Kumar, Ananya, Liang, Percy

Volltext bestellen

Model Equality Testing: Which Model Is This API Serving? von Gao, Irena, Liang, Percy, Guestrin, Carlos

Volltext bestellen

Break-It-Fix-It: Unsupervised Learning for Program Repair von Yasunaga, Michihiro, Liang, Percy

Volltext bestellen

Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately von Khani, Fereshte, Liang, Percy

Volltext bestellen