#information retrieval
10 papers · 1 filter
EMBL AI Librarian: Life-Sciences Knowledge Layer for AI Agents
Luigi Sigillo, Matteo Silvestri, Francesco Tabaro +9
The paper presents EMBL AI Librarian, a system that lets AI agents query life‑science literature in natural language by using an LLM to generate sub‑queries, retrieve papers from E…
DeepResearch Agent System
Yong Huang, Yulu Huang, for the team Collaboration
The DeepResearch Agent System is a large language model designed for deep information retrieval and multi-step autonomous research, using a sparse activation architecture that acti…
SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
Yuyao Zhang, Junjie Gao, Zhengxian Wu +11
The paper introduces SearchOS, a multi-agent framework that makes search progress explicit through shared state structures and uses pipeline-parallel scheduling and middleware to i…
DIVE: Embedding Compression via Self-Limiting Gradient Updates
Dongfang Zhao
The paper introduces DIVE, a residual compression adapter that reduces the dimensionality of language‑model embeddings using a self‑limiting hinge loss, geometry distillation, and…
Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs
Amirali Ebrahimzadeh, Seyyed M. Salili
The paper studies how the placement of facts in large text corpora and the use of anti‑hallucination prompts affect the ability of long‑context language models to retrieve informat…
Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search
Howard Yen, Yoonsang Lee, Ashwin Paranjape +5
The paper introduces SLIM, a lightweight framework that separates search and browsing tools and periodically summarizes information to overcome context limits in long-horizon web‑a…