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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 1–50 of 61 papers

TitleStatusHype
WebCPM: Interactive Web Search for Chinese Long-form Question AnsweringCode2
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking TechniquesCode2
LongForm: Effective Instruction Tuning with Reverse InstructionsCode2
Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingCode2
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language ModelsCode2
Attribute First, then Generate: Locally-attributable Grounded Text GenerationCode1
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference OptimizationCode1
ALaRM: Align Language Models via Hierarchical Rewards ModelingCode1
OLAPH: Improving Factuality in Biomedical Long-form Question AnsweringCode1
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsCode1
Controllable Generation from Pre-trained Language Models via Inverse PromptingCode1
ELI5: Long Form Question AnsweringCode1
D2S: Document-to-Slide Generation Via Query-Based Text SummarizationCode1
SEMQA: Semi-Extractive Multi-Source Question AnsweringCode1
Hurdles to Progress in Long-form Question AnsweringCode1
A Critical Evaluation of Evaluations for Long-form Question AnsweringCode1
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive TasksCode1
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback—0
Adapting Pre-trained Generative Models for Extractive Question Answering—0
A Novel Computational and Modeling Foundation for Automatic Coherence Assessment—0
CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations—0
FinTextQA: A Dataset for Long-form Financial Question Answering—0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution—0
Generative Long-form Question Answering: Relevance, Faithfulness and Succinctness—0
Genie: Achieving Human Parity in Content-Grounded Datasets Generation—0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study—0
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Investigating Answerability of LLMs for Long-Form Question Answering—0
LaMP-QA: A Benchmark for Personalized Long-form Question Answering—0
Learning to Plan and Generate Text with Citations—0
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach—0
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration—0
Modeling Exemplification in Long-form Question Answering via Retrieval—0
Modeling Exemplification in Long-form Question Answering via Retrieval—0
Multi-Review Fusion-in-Context—0
New Methods & Metrics for LFQA tasks—0
PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering—0
Query Refinement Prompts for Closed-Book Long-Form Question Answering—0
Read before Generate! Faithful Long Form Question Answering with Machine Reading—0
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision—0
To Retrieve or Not to Retrieve? Uncertainty Detection for Dynamic Retrieval Augmented Generation—0
Understanding Retrieval Augmentation for Long-Form Question Answering—0
How State-Of-The-Art Models Can Deal With Long-Form Question Answering—0
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization—0
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs—0
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
Atomic Consistency Preference Optimization for Long-Form Question AnsweringCode0
GenerationPrograms: Fine-grained Attribution with Executable ProgramsCode0
CaLMQA: Exploring culturally specific long-form question answering across 23 languagesCode0
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