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cs.AI2026

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 (…

cs.CL2026

MicroVerse: An Instrument for Measuring Self-Authored Identity Drift in Long-Horizon Multi-Agent Language-Model Simulations

Sky Ng, Brihi Joshi, Ishan Gupta +47

Long-horizon, multi-agent language model (LM) simulations are widely proposed for studying social behavior, yet instruments to measure whether persona-conditioned agents maintain i…

cs.AI2026

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…

cs.CL2026

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…

cs.IR2026

SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents

Qianfeng Wen, Yifan Simon Liu, Xin Liu +4

Generative Engine Optimization (GEO) lets content owners rewrite web content to increase their visibility in generative systems. In recommendation agents, this creates a risk that…

cs.IR2026

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…

cs.AI2026

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…