Top Conference Papers

Teaching Language Models to Self-Improve through Interactive Demonstrations

R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Visual Grounding Helps Learn Word Meanings in Low-Data Regimes

Evaluating the Deductive Competence of Large Language Models