https://github.com/2015aroras/calmqa
공식 코드CaLMQA: Exploring culturally specific long-form question answering across 23 languages
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Long-form question answering is a task requiring elaborate and in-depth answers to open-ended questions.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
CaLMQA: Exploring culturally specific long-form question answering across 23 languages
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
A Claim Decomposition Benchmark for Long-form Answer Verification
D2S: Document-to-Slide Generation Via Query-Based Text Summarization
Controllable Generation from Pre-trained Language Models via Inverse Prompting
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
Concise Answers to Complex Questions: Summarization of Long-form Answers
LongForm: Effective Instruction Tuning with Reverse Instructions
An Empirical Study of Evaluating Long-form Question Answering
A Critical Evaluation of Evaluations for Long-form Question Answering
OLAPH: Improving Factuality in Biomedical Long-form Question Answering
Revisiting Sentence Union Generation as a Testbed for Text Consolidation
ALaRM: Align Language Models via Hierarchical Rewards Modeling
Atomic Consistency Preference Optimization for Long-Form Question Answering
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems
Attribute First, then Generate: Locally-attributable Grounded Text Generation
GenerationPrograms: Fine-grained Attribution with Executable Programs
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning
WebCPM: Interactive Web Search for Chinese Long-form Question Answering
Localizing and Mitigating Errors in Long-form Question Answering
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.