1 citations · 1 across the 5 of their papers we have counts for
5 papers
Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
Derong Xu, Shuochen Liu, Pengfei Luo +8
Large language model (LLM) agents require long-term user memory for consistent personalization, but limited context windows hinder tracking evolving preferences over long interacti…
ChartAnchor: Chart Grounding with Structural-Semantic Fidelity
Xinhang Li, Jingbo Zhou, Pengfei Luo +2
Recent advances in multimodal large language models (MLLMs) highlight the need for benchmarks that rigorously evaluate structured chart comprehension. Chart grounding refers to the…
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning
Shuochen Liu, Pengfei Luo, Chao Zhang +6
Aiming to identify precise evidence sources from visual documents, visual evidence attribution for visual document retrieval-augmented generation (VD-RAG) ensures reliable and veri…
ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
Pengfei Luo, Jingbo Zhou, Tong Xu +3
With the proliferation of images in online content, language-guided image retrieval (LGIR) has emerged as a research hotspot over the past decade, encompassing a variety of subtask…
Multi-Grained Multimodal Interaction Network for Entity Linking
Pengfei Luo, Tong Xu, Shiwei Wu +3
Multimodal entity linking (MEL) task, which aims at resolving ambiguous mentions to a multimodal knowledge graph, has attracted wide attention in recent years. Though large efforts…