Accepted papers

Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions

Alicia Parrish, Harsh Trivedi, Ethan Perez, Angelica Chen, Nikita Nangia, Jason Phang, Samuel R. Bowman

Few-shot image classification by generating natural language rules

Wai Keen Vong, Brenden Lake

Shared Autonomy for Robotic Manipulation with Language Corrections

Siddharth Karamcheti, Raj Palleti, Yuchen Cui, Percy Liang, Dorsa Sadigh

When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Peter Hase, Mohit Bansal

Using Natural Language to Guide Meta-Learning Agents towards Human-like Inductive Biases

Sreejan Kumar, Ishita Dasgupta, Michael Hu, Raja Marjieh, Robert D. Hawkins, Nathaniel Daw, Jonathan Cohen, Karthik R Narasimhan, Thomas L. Griffiths

Conversational Grounding as Natural Language Supervision -- the need for divergent agent data

Oliver Lemon

CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations

Rakesh R Menon, Sayan Ghosh, Shashank Srivastava

Linguistic communication as (inverse) reward design

Theodore Sumers, Robert D. Hawkins, Mark K Ho, Thomas L. Griffiths, Dylan Hadfield-Menell

Learning from Natural Language Feedback

Jérémy Scheurer, Jon Ander Campos, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez

QuExEnt: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning

Sayan Ghosh, Rakesh R Menon, Shashank Srivastava

Predicting Human Similarity Judgments Using Large Language Models

Raja Marjieh, Ilia Sucholutsky, Theodore Sumers, Nori Jacoby, Thomas L. Griffiths

GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer

Edoardo Mosca, Defne Demirtürk, Luca Mülln, Fabio Raffagnato, Georg Groh

Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction

Devansh Jain, Luis Espinosa-Anke

Revisiting the Roles of “Text” in Text Games

Yi Gu, Shunyu Yao, Chuang Gan, Joshua B. Tenenbaum, Mo Yu

Semantic Supervision: Enabling Generalization over Output Spaces

Ameet Deshpande, Austin W. Hanjie, Karthik R Narasimhan

Prompts and Pre-Trained Language Models for Offline Reinforcement Learning

Denis Tarasov, Vladislav Kurenkov, Sergey Kolesnikov

Unsupervised Cross-Task Generalization via Retrieval Augmentation

Bill Yuchen Lin, Kangmin Tan, Chris Scott Miller, Beiwen Tian, Xiang Ren

Highlights or free-text? A survey on teaching NLP models with human explanations

Mareike Hartmann, Daniel Sonntag

Fixing Model Bugs with Natural Language Patches

Shikhar Murty, Christopher D Manning, Scott M Lundberg, Marco Tulio Ribeiro

Finding Sub-task Structure with Natural Language Instruction

Ryokan Ri, Yufang Hou, Radu Marinescu, Akihiro Kishimoto