Field notes
2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
Click the web, then scroll to zoom
Every note is in the list below. The web of topics draws here once the page has loaded.
14 of 2,343 notes match.
- Question answered
- Source note
- Topic
- Shared notes
Notes on question answering
14 notes
Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering
Researchers introduce a new multi-agent system called Adaptive Memory and Reflection (AMR) for medical question answering. This system aims to address the limitations of existing systems by using specialized agents…
Hierarchical Graph Memory for LLM Agents with Path-level Localization and Rewrite
The authors propose HiGram, a hierarchical graph memory framework for long-term reasoning agents. This framework aims to efficiently update memories over time by organizing them into a coarse-to-fine architecture…
A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility
Researchers have developed a platform called APS-RAG for scientific facilities like the Advanced Photon Source (APS). The platform aims to make the vast amount of institutional knowledge accessible through natural…
A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility
Researchers have developed APS-RAG, a platform that helps scientists at the Advanced Photon Source (APS) access institutional knowledge through natural language queries. The platform uses a retrieval engine that fuses…
AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System
The paper introduces AILQA, an AI system designed for Indian legal question answering, using a variety of embedding and generative models including LLMs. It was evaluated with both lexical and semantic metrics, expert…
StoryTeller: Training-Free Narrative Grounding for Long-Form Audio Description
The authors propose a new framework called StoryTeller for long-form audio description (AD). Unlike modern video-language models, StoryTeller maintains a narrative memory that carries forward story-relevant information…
DocMaster: A Hierarchical Structure-Aware System for Document Analysis
DocMaster is a system that allows for the analysis of complex documents while preserving their hierarchical structures such as sections, tables, figures, and equations. It offers an interactive web interface where…
Two Axes of LLM Abstention: Answer Correctness and Question Answerability
The paper discusses the issue of language models providing incorrect or unanswerable responses. The author proposes two separate axes for abstention: one for answers the model would get wrong, and another for questions…
Two Axes of LLM Abstention: Answer Correctness and Question Answerability
A study finds that large language models often struggle with two types of errors: answering questions incorrectly and attempting to answer unanswerable or misleading questions. The researchers propose a method to…
From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b
Researchers present a framework using question-type-specific large language models (LLMs) to improve answer robustness and evidence grounding in biomedical question answering. The framework uses different inference…
From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b
A study presents a framework for improving the accuracy and reliability of biomedical question answering by using a large language model (LLM) that adapts its inference strategies based on the type of question (yes/no…
From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b
Researchers have developed a system for answering biomedical questions using large language models (LLMs). The system is designed to improve the robustness of answers by selecting different inference procedures for…
Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering
This research paper presents an uncertainty-aware framework for Retrieval-Augmented Generation (RAG) systems. The system uses a Bayesian Network to estimate the uncertainty of multi-stage reasoning pipelines and…
JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering
Researchers introduce JL1-CC&QA, a new benchmark for remote sensing that extends the JL1-CD dataset with two annotation layers: change captioning (CC) and change question answering (QA). The benchmark includes 5,000…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
