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Xiaotian Liu · Armin Toroghi · Jiazhou Liang · David Courtis · Ruiwen Li · Ali Pesaranghader · Jaehong Kim · Tanmana Sadhu · Hyejeong Jeon · Scott Sanner
Yifan Simon Liu · Ruifan Wu · Liam Gallagher · Jiazhou Liang · Armin Toroghi · Scott Sanner
Conversational AI (ConvAI) agents increasingly maintain structured memory to support long-term, task-oriented interactions. In-context memory approaches append the growing history to the model input, which scales poorly under context-window limits. RAG-based methods retrieve request-relevant info...
Yifan Simon Liu · Qianfeng Wen · Jiazhou Liang · Mark Zhao · Justin Cui · Anton Korikov · Armin Toroghi · Junyoung Kim · Scott Sanner
Natural Language Recommendation (NLRec) generates item suggestions based on the relevance between user-issued NL requests and NL item description passages. Existing NLRec approaches often use Dense Retrieval (DR) to compute item relevance scores from aggregation of inner products between user req...
Armin Toroghi · Faeze Moradi Kalarde · Scott Sanner
To effectively interact with the real world, Large Language Models (LLMs) require entity-based commonsense reasoning, a challenging task that necessitates integrating factual knowledge about specific entities with commonsense inference. Existing datasets for evaluating LLM entity-based commonsens...