"Why Should I Trust You?": Explaining the Predictions of Any Classifier Paper • 1602.04938 • Published Feb 16, 2016
ART: Automatic multi-step reasoning and tool-use for large language models Paper • 2303.09014 • Published Mar 16, 2023 • 1
Interpretation of Natural Language Rules in Conversational Machine Reading Paper • 1809.01494 • Published Aug 28, 2018
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs Paper • 1903.00161 • Published Mar 1, 2019
Post Hoc Explanations of Language Models Can Improve Language Models Paper • 2305.11426 • Published May 19, 2023 • 1
MedICaT: A Dataset of Medical Images, Captions, and Textual References Paper • 2010.06000 • Published Oct 12, 2020
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts Paper • 2112.08348 • Published Dec 15, 2021
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing Paper • 2201.02693 • Published Jan 7, 2022
Are Models Biased on Text without Gender-related Language? Paper • 2405.00588 • Published May 1, 2024
Successive Prompting for Decomposing Complex Questions Paper • 2212.04092 • Published Dec 8, 2022
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling Paper • 2301.12050 • Published Jan 28, 2023
Coverage-based Example Selection for In-Context Learning Paper • 2305.14907 • Published May 24, 2023
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation Paper • 2203.08445 • Published Mar 16, 2022
Nudging: Inference-time Alignment via Model Collaboration Paper • 2410.09300 • Published Oct 11, 2024
Continued Pretraining for Better Zero- and Few-Shot Promptability Paper • 2210.10258 • Published Oct 19, 2022