8 papers
Latent-IM: Latent Interaction Management for Speech LLMs
Adar Avsian, Atahan Dokme, Tony Woo +1
Classical spoken dialogue systems often separated dialogue management from response realization: a policy selected the next dialogue action, and a generation component expressed th…
SNEAK: Evaluating Strategic Communication and Information Leakage in Large Language Models
Adar Avsian, Larry Heck
Large language models (LLMs) are increasingly deployed in multi-agent settings where communication must balance informativeness and secrecy. In such settings, an agent may need to…
Emotion is Not Just a Label: Latent Emotional Factors in LLM Processing
Benjamin Reichman, Adar Avsian, Samuel Webster +1
Large language models are routinely deployed on text that varies widely in emotional tone, yet their reasoning behavior is typically evaluated without accounting for emotion as a s…
FLEx: Language Modeling with Few-shot Language Explanations
Adar Avsian, Christopher Richardson, Anirudh Sundar +1
Language models have become effective at a wide range of tasks, from math problem solving to open-domain question answering. However, they still make mistakes, and these mistakes a…
Emotions Where Art Thou: Understanding and Characterizing the Emotional Latent Space of Large Language Models
Benjamin Reichman, Adar Avsian, Larry Heck
This work investigates how large language models (LLMs) internally represent emotion by analyzing the geometry of their hidden-state space. The paper identifies a low-dimensional e…
Reading with Intent -- Neutralizing Intent
Benjamin Reichman, Adar Avsian, Larry Heck
Queries to large language models (LLMs) can be divided into two parts: the instruction/question and the accompanying context. The context for retrieval-augmented generation (RAG) s…
Emotional RAG LLMs: Reading Comprehension for the Open Internet
Benjamin Reichman, Adar Avsian, Kartik Talamadupula +2
Queries to large language models (LLMs) can be divided into two parts: the instruction/question and the accompanying context. The context for retrieval-augmented generation (RAG) s…
iTBLS: A Dataset of Interactive Conversations Over Tabular Information
Anirudh Sundar, Christopher Richardson, Adar Avsian +1
This paper introduces Interactive Tables (iTBLS), a dataset of interactive conversations that focuses on natural-language manipulation of tabular information sourced from academic…