35 citations · 37 across the 8 of their papers we have counts for
8 papers
Archer: A Human-Labeled Text-to-SQL Dataset with Arithmetic, Commonsense and Hypothetical Reasoning
Danna Zheng, Mirella Lapata, Jeff Z. Pan
We present Archer, a challenging bilingual text-to-SQL dataset specific to complex reasoning, including arithmetic, commonsense and hypothetical reasoning. It contains 1,042 Englis…
Improving Generalization in Semantic Parsing by Increasing Natural Language Variation
Irina Saparina, Mirella Lapata
Text-to-SQL semantic parsing has made significant progress in recent years, with various models demonstrating impressive performance on the challenging Spider benchmark. However, i…
TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness
Danna Zheng, Danyang Liu, Mirella Lapata +1
Large Language Models (LLMs) have demonstrated impressive capabilities across various domains, prompting a surge in their practical applications. However, concerns have arisen rega…
Visual Storytelling with Question-Answer Plans
Danyang Liu, Mirella Lapata, Frank Keller
Visual storytelling aims to generate compelling narratives from image sequences. Existing models often focus on enhancing the representation of the image sequence, e.g., with exter…
Attributable and Scalable Opinion Summarization
Tom Hosking, Hao Tang, Mirella Lapata
We propose a method for unsupervised opinion summarization that encodes sentences from customer reviews into a hierarchical discrete latent space, then identifies common opinions b…
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback
Yao Fu, Hao Peng, Tushar Khot +1
We study whether multiple large language models (LLMs) can autonomously improve each other in a negotiation game by playing, reflecting, and criticizing. We are interested in this…