10 papers
Have I Scene This Before? Spatially Grounded Conversational Memory for Complex Queries in Egocentric Assistants
Jiazhou Liang, Liam Gallagher, Kiko Chen +4
Egocentric assistants must connect what users say with what they see across long interaction histories. We formalize this challenge as Spatially grounded Conversational Reasoning (…
Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems
Jiazhou Liang, Armin Toroghi, Yifan Simon Liu +3
LLM-based conversational AI agents struggle to maintain coherent behavior over long horizons due to limited context. While RAG-based approaches are increasingly adopted to overcome…
Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents
Yifan Simon Liu, Liam Gallagher, Faeze Moradi Kalarde +3
Long-horizon conversational agents need to interact with users through evolving events, tasks, and goals. Such histories are naturally temporal, yet many existing memory systems or…
Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval
Junyoung Kim, Anton Korikov, Jiazhou Liang +5
While Large Language Models (LLMs) exhibit exceptional zero-shot relevance modeling, their high computational cost necessitates framing passage retrieval as a budget-constrained gl…
Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation
Jiazhou Liang, Yifan Simon Liu, David Guo +3
The growing ubiquity of Extended Reality (XR) is driving Conversational Recommendation Systems (CRS) toward visually immersive experiences. We formalize this paradigm as Immersive…
Semantic XPath: Structured Agentic Memory Access for Conversational AI
Yifan Simon Liu, Ruifan Wu, Liam Gallagher +3
Conversational AI (ConvAI) agents increasingly maintain structured memory to support long-term, task-oriented interactions. In-context memory approaches append the growing history…
Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions
Jiazhou Liang, Hassan Khurram, Scott Sanner
Linear Predictive Clustering (LPC) partitions samples based on shared linear relationships between feature and target variables, with numerous applications including marketing, med…
Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments
Yifan Liu, Qianfeng Wen, Jiazhou Liang +6
Natural Language Recommendation (NLRec) generates item suggestions based on the relevance between user-issued NL requests and NL item description passages. Existing NLRec approache…
VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion
David Guo, Minqi Sun, Yilun Jiang +2
Multimodal conversational recommendation has recently emerged as a promising paradigm for delivering personalized experiences through natural dialogue enriched by visual and contex…
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval
Yifan Liu, Qianfeng Wen, Mark Zhao +2
Dense Passage Retrieval (DPR) typically relies on Euclidean or cosine distance to measure query-passage relevance in embedding space, which is effective when embeddings lie on a li…