36 citations · 78 across the 13 of their papers we have counts for
13 papers
Classic AI Scaffolding for LLM Social Agents
Anatole Gershman
Large language models can produce locally plausible social turns, but fluent next-turn generation is not enough for social simulation. Human encounters such as restaurant lunches a…
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models
Steven Y. Feng, Vivek Khetan, Bogdan Sacaleanu +2
We motivate and introduce CHARD: Clinical Health-Aware Reasoning across Dimensions, to investigate the capability of text generation models to act as implicit clinical knowledge ba…
Template Filling for Controllable Commonsense Reasoning
Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu +3
Large-scale sequence-to-sequence models have shown to be adept at both multiple-choice and open-domain commonsense reasoning tasks. However, the current systems do not provide the…
Learning Lexical Entries for Robotic Commands using Crowdsourcing
Junjie Hu, Jean Oh, Anatole Gershman
Robotic commands in natural language usually contain various spatial descriptions that are semantically similar but syntactically different. Mapping such syntactic variants into se…
Privacy-Preserving Multi-Document Summarization
Luís Marujo, José Portêlo, Wang Ling +6
State-of-the-art extractive multi-document summarization systems are usually designed without any concern about privacy issues, meaning that all documents are open to third parties…
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach
Luís Marujo, Ricardo Ribeiro, David Martins de Matos +3
The increasing amount of online content motivated the development of multi-document summarization methods. In this work, we explore straightforward approaches to extend single-docu…