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Long Form Question Answering

Long-form question answering is a task requiring elaborate and in-depth answers to open-ended questions.

Papers

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Showing 1–25 of 61 papers

TitleStatusHype
GenerationPrograms: Fine-grained Attribution with Executable ProgramsCode0
LaMP-QA: A Benchmark for Personalized Long-form Question Answering—0
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs—0
Atomic Consistency Preference Optimization for Long-Form Question AnsweringCode0
An Empirical Study of Evaluating Long-form Question AnsweringCode0
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration—0
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution—0
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation SystemsCode0
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language ModelsCode0
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization—0
To Retrieve or Not to Retrieve? Uncertainty Detection for Dynamic Retrieval Augmented Generation—0
A Claim Decomposition Benchmark for Long-form Answer VerificationCode0
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision—0
CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations—0
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian PhilosophyCode0
Putting People in LLMs' Shoes: Generating Better Answers via Question RewriterCode0
Localizing and Mitigating Errors in Long-form Question AnsweringCode0
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language ModelsCode2
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
CaLMQA: Exploring culturally specific long-form question answering across 23 languagesCode0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
OLAPH: Improving Factuality in Biomedical Long-form Question AnsweringCode1
FinTextQA: A Dataset for Long-form Financial Question Answering—0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study—0
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