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Long Form Question Answering
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Long-form question answering is a task requiring elaborate and in-depth answers to open-ended questions.
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
LaMP-QA: A Benchmark for Personalized Long-form Question Answering
Atomic Consistency Preference Optimization for Long-Form Question Answering
An Empirical Study of Evaluating Long-form Question Answering
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the Wild
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
To Retrieve or Not to Retrieve? Uncertainty Detection for Dynamic Retrieval Augmented Generation
A Claim Decomposition Benchmark for Long-form Answer Verification
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision
CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
Localizing and Mitigating Errors in Long-form Question Answering
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
CaLMQA: Exploring culturally specific long-form question answering across 23 languages
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering
OLAPH: Improving Factuality in Biomedical Long-form Question Answering
FinTextQA: A Dataset for Long-form Financial Question Answering
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study
Learning to Plan and Generate Text with Citations
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems
Attribute First, then Generate: Locally-attributable Grounded Text Generation
Multi-Review Fusion-in-Context
ALaRM: Align Language Models via Hierarchical Rewards Modeling
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Genie: Achieving Human Parity in Content-Grounded Datasets Generation
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach
SEMQA: Semi-Extractive Multi-Source Question Answering
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