6 papers
DeFT-RAG: Incrementally Decomposing Multi-Hop Questions into Self-Contained Sub-Questions with Reusable Answers
Dingyi Kang, Bingzhe Li
Retrieval-augmented generation (RAG) lets a large language model (LLM) answer questions by retrieving relevant passages from a large corpus. However, RAG struggles with multi-hop q…
CUA-Recovery: Benchmarking Error Recovery in Long-Horizon Computer-Use Agents
Xu Hu, Haoming Li, Yuxiang Wang +11
As computer-use agents (CUAs) move to long-horizon workflows spanning multiple applications, undetected errors can silently corrupt persistent state and cause cascading failures in…
V-Mem: Modality-Routed Retrieval for Long-Term Multimodal Agentic Memory
Dingyi Kang, Dongming Jiang, Yi Li +2
Interaction between users and LLM agents is increasingly multimodal: conversations interleave text with images, and a later question may target either. Yet most agent memories are…
LAANN: I/O-Aware Look-Ahead Search for Disk-Based Approximate Nearest Neighbor Search
Dingyi Kang, Juncheng Yang, Bingzhe Li
Approximate nearest neighbor search (ANNS) is a fundamental primitive in large-scale retrieval, recommendation, and AI systems. As vector datasets grow to billions or even trillion…
Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations
Dongming Jiang, Yi Li, Songtao Wei +8
Agentic memory systems enable large language model (LLM) agents to maintain state across long interactions, supporting long-horizon reasoning and personalization beyond fixed conte…
Scalable Disk-Based Approximate Nearest Neighbor Search with Page-Aligned Graph
Dingyi Kang, Dongming Jiang, Hanshen Yang +2
Approximate Nearest Neighbor Search (ANNS), as the core of vector databases (VectorDBs), has become widely used in modern AI and ML systems, powering applications from information…