Long Form Question Answering
15 papers with code • 0 benchmarks • 3 datasets
Long-form question answering is a task requiring elaborate and in-depth answers to open-ended questions.
Benchmarks
These leaderboards are used to track progress in Long Form Question Answering
ELI5
QuALITY
LLeQA
Most implemented papers
Concise Answers to Complex Questions: Summarization of Long-form Answers
Long-form question answering systems provide rich information by presenting paragraph-level answers, often containing optional background or auxiliary information.
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
ZHZisZZ/modpo
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A single language model (LM), despite aligning well with an average labeler through reinforcement learning from human feedback (RLHF), may not universally suit diverse human preferences.
SEMQA: Semi-Extractive Multi-Source Question Answering
Experimenting with several LLMs in various settings, we find this task to be surprisingly challenging, demonstrating the importance of QuoteSum for developing and studying such consolidation capabilities.
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning
Query-focused Summarization (QfS) deals with systems that generate summaries from document(s) based on a query.
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems
We present ClapNQ, a benchmark Long-form Question Answering dataset for the full RAG pipeline.
