14 citations · 15 across the 10 of their papers we have counts for
6 papers · 1 filter
Mostly Reading: What Open-Book Scores Measure in Document-Level LoRA Adapters
Martino M. L. Pulici, Cuong Xuan Chu, Evgeny Kharlamov +1
Single-document LoRA adapters have been proposed as units of knowledge to be merged and retrieved; yet open-book scoring, with the document in the prompt, can credit a document's o…
AWM: Answerable Working Memory for Long-Document VQA Agents
Dongzhuoran Zhou, Yuqicheng Zhu, Yule Liu +5
Long-document visual question answering increasingly relies on VLM agents that retrieve candidate pages, inspect page images, write findings to working memory, and synthesize answe…
Memory for Large Language Models
Sining Zhoubian, Dan Zhang, Evgeny Kharlamov +1
Memory has evolved into a foundational architectural dimension in large language models (LLMs), shifting from an implicit byproduct of computation to a spectrum of explicit, contro…
Cross-Source Reasoning-based Correction for Author Name Disambiguation
Fanjin Zhang, Yunhe Pang, Bo Chen +4
Author name disambiguation is a critical challenge in academic search systems, often addressed through from-scratch and real-time disambiguation approaches. However, current algori…
Can Large Language Models Master Complex Card Games?
Wei Wang, Fuqing Bie, Junzhe Chen +4
Complex games have long been an important benchmark for testing the progress of artificial intelligence algorithms. AlphaGo, AlphaZero, and MuZero have defeated top human players i…
GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model
Yunhe Pang, Bo Chen, Fanjin Zhang +3
Anomaly detection on text-rich graphs is widely prevalent in real life, such as detecting incorrectly assigned academic papers to authors and detecting bots in social networks. The…