6 citations · 16 across the 27 of their papers we have counts for
5 papers · 1 filter
Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games
Niv Eckhaus, Uri Berger, Gabriel Stanovsky
LLMs are used predominantly in synchronous communication, where a human user and a model communicate in alternating turns. In contrast, many real-world settings are asynchronous. F…
Cooking Up Creativity: Enhancing LLM Creativity through Structured Recombination
Moran Mizrahi, Chen Shani, Gabriel Stanovsky +2
Large Language Models (LLMs) excel at many tasks, yet they struggle to produce truly creative, diverse ideas. In this paper, we introduce a novel approach that enhances LLM creativ…
More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG
Shahar Levy, Nir Mazor, Lihi Shalmon +2
Retrieval-Augmented Generation (RAG) enhances the accuracy of Large Language Model (LLM) responses by leveraging relevant external documents during generation. Although previous st…
Comparing the Framing Effect in Humans and LLMs on Naturally Occurring Texts
Gili Lior, Liron Nacchace, Gabriel Stanovsky
Humans are influenced by how information is presented, a phenomenon known as the framing effect. Prior work suggests that LLMs may also be susceptible to framing, but it has relied…
Improving Image Captioning by Mimicking Human Reformulation Feedback at Inference-time
Uri Berger, Omri Abend, Lea Frermann +1
Incorporating automatically predicted human feedback into the process of training generative models has attracted substantial recent interest, while feedback at inference time has…