Title |
|---|
 ARES: An Automated Evaluation Framework for Retrieval-Augmented
Generation SystemsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
 How Well Do Large Language Models Truly Ground?North American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
 Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic
Fact-checkersConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Fine-tuning Language Models for FactualityInternational Conference on Learning Representations (ICLR), 2023 |
 LLatrieval: LLM-Verified Retrieval for Verifiable GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
 FAITHSCORE: Evaluating Hallucinations in Large Vision-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 LitCab: Lightweight Language Model Calibration over Short- and Long-form
ResponsesInternational Conference on Learning Representations (ICLR), 2023 |
 Davidsonian Scene Graph: Improving Reliability in Fine-grained
Evaluation for Text-to-Image GenerationInternational Conference on Learning Representations (ICLR), 2023 |
 Language Models Hallucinate, but May Excel at Fact VerificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
 Large Language Models Help Humans Verify Truthfulness -- Except When
They Are Convincingly WrongNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
 Self-RAG: Learning to Retrieve, Generate, and Critique through
Self-ReflectionInternational Conference on Learning Representations (ICLR), 2023 |
 KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level
Hallucination DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Prometheus: Inducing Fine-grained Evaluation Capability in Language
ModelsInternational Conference on Learning Representations (ICLR), 2023 |
 Beyond Factuality: A Comprehensive Evaluation of Large Language Models
as Knowledge GeneratorsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Teaching Language Models to Hallucinate Less with Synthetic TasksInternational Conference on Learning Representations (ICLR), 2023 |
 Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language
ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 BooookScore: A systematic exploration of book-length summarization in
the era of LLMsInternational Conference on Learning Representations (ICLR), 2023 |
 FELM: Benchmarking Factuality Evaluation of Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023 |
 STRONG -- Structure Controllable Legal Opinion Summary GenerationInternational Joint Conference on Natural Language Processing (IJCNLP), 2023 |
 Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of
Language ModelsInternational Conference on Learning Representations (ICLR), 2023 |
 Ragas: Automated Evaluation of Retrieval Augmented GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 Calibrating LLM-Based EvaluatorInternational Conference on Language Resources and Evaluation (LREC), 2023 |
 LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive
SummarisationInternational Conference on Language Resources and Evaluation (LREC), 2023 |
 Chain-of-Verification Reduces Hallucination in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 ExpertQA: Expert-Curated Questions and Attributed AnswersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
 Zero-shot Audio Topic Reranking using Large Language ModelsSpoken Language Technology Workshop (SLT), 2023 |
 Retrieving Evidence from EHRs with LLMs: Possibilities and ChallengesACM Conference on Health, Inference, and Learning (CHIL), 2023 |
 Zero-Resource Hallucination Prevention for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 On the Trustworthiness Landscape of State-of-the-art Generative Models:
A Survey and OutlookInternational Journal of Computer Vision (IJCV), 2023 |
