Search Results for author:
Found 8 papers, 5 papers with code
Autonomous Evaluation and Refinement of Digital Agents
We show that domain-general automatic evaluators can significantly improve the performance of agents for web navigation and device control.
Decision-Oriented Dialogue for Human-AI Collaboration
In each of these settings, AI assistants and users have disparate abilities that they must combine to arrive at the best decision: assistants can access and process large amounts of information, while users have preferences and constraints external to the system.
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
In conjunction with our model, we release three new datasets of human- and AI-generated text as detection benchmarks in the domains of student essays, creative writing, and news articles.
Revisiting Entropy Rate Constancy in Text
The uniform information density (UID) hypothesis states that humans tend to distribute information roughly evenly across an utterance or discourse.
Neural Unsupervised Reconstruction of Protolanguage Word Forms
We evaluate our performance on the task of reconstructing Latin from a dataset of cognates across five Romance languages, achieving a notable reduction in edit distance from the target word forms compared to previous methods.
Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches
People rely heavily on context to enrich meaning beyond what is literally said, enabling concise but effective communication.
Automated Crossword Solving
We present the Berkeley Crossword Solver, a state-of-the-art approach for automatically solving crossword puzzles.
Understanding Game-Playing Agents with Natural Language Annotations
We present a new dataset containing 10K human-annotated games of Go and show how these natural language annotations can be used as a tool for model interpretability.
