yale-nlp / LLM-T2T
Data and code for EMNLP 2023 industry-track paper "Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios"
β24Updated 10 months ago
Related projects β
Alternatives and complementary repositories for LLM-T2T
- Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"β80Updated last year
- π² Code for our EMNLP 2023 paper - π "Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Modeβ¦β46Updated 11 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"β61Updated 7 months ago
- Data and code for ACL 2022 paper "MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data"β41Updated last month
- First explanation metric (diagnostic report) for text generation evaluationβ61Updated 4 months ago
- A framework for editing the CoTs for better factualityβ40Updated 11 months ago
- Code and data for "The Power of Noise: Redefining Retrieval for RAG Systems"β46Updated last month
- β83Updated last year
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"β46Updated last year
- Code and Data Repo for ACL'23 Paper "Element-aware Summary and Summary Chain-of-Thought (SumCoT)"β53Updated 10 months ago
- [ACL 2022] A hierarchical table dataset for question answering and data-to-text generation.β66Updated this week
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrievalβ57Updated last month
- β37Updated 10 months ago
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"β61Updated last year
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"β64Updated 2 years ago
- [ICLR24] The open-source repo of THU-KEG's KoLA benchmark.β50Updated last year
- Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"β17Updated last year
- β28Updated 9 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"β62Updated 3 months ago
- The code and data used for EACL2023 Paper: "Large Language Models are few(1)-shot Table Reasoners"β39Updated 6 months ago
- A comprehensive paper list of Reasoning over Tables.β26Updated 2 years ago
- Enhancing contextual understanding in large language models through contrastive decodingβ15Updated 6 months ago
- β16Updated 9 months ago
- Data and Code for EMNLP 2023 paper "QTSumm: Query-Focused Summarization over Tabular Data"β16Updated 7 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)β54Updated 11 months ago
- β12Updated 4 months ago
- β61Updated last year
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"β77Updated last year
- β59Updated last year
- β48Updated 3 months ago