activity
20242026
most citedFrom RAG to Memory: Non-Parametric Continual Learning for Large Language Models

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

REMem: Reasoning with Episodic Memory in Language Agent

Yiheng Shu, Saisri Padmaja Jonnalagedda, Xiang Gao +5

Humans excel at remembering concrete experiences along spatiotemporal contexts and performing reasoning across those events, i.e., the capacity for episodic memory. In contrast, me…

cs.AI2025

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Boyu Gou, Zanming Huang, Yuting Ning +23

Agentic search such as Deep Research systems-where agents autonomously browse the web, synthesize information, and return comprehensive citation-backed answers-represents a major s…

cs.AI2025

An Illusion of Progress? Assessing the Current State of Web Agents

Tianci Xue, Weijian Qi, Tianneng Shi +5

As digitalization and cloud technologies evolve, the web is becoming increasingly important in the modern society. Autonomous web agents based on large language models (LLMs) hold…

cs.CL2025★ 2 cited

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Bernal Jiménez Gutiérrez, Yiheng Shu, Weijian Qi +2

Our ability to continuously acquire, organize, and leverage knowledge is a key feature of human intelligence that AI systems must approximate to unlock their full potential. Given…

cs.CL2024

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Zijun Yao, Weijian Qi, Liangming Pan +5

This paper introduces Self-aware Knowledge Retrieval (SeaKR), a novel adaptive RAG model that extracts self-aware uncertainty of LLMs from their internal states. SeaKR activates re…