Alternatives and similar repositories for TextualExplInContext

Users that are interested in TextualExplInContext are comparing it to the libraries listed below

• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆25Updated 7 months ago
• fywalter / label-bias
  A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning
  ☆10Updated last year
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆41Updated last year
• SumilerGAO / SunGen
  ☆26Updated 2 years ago
• launchnlp / BOLT
  Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".
  ☆21Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• allenai / csqa2
  ☆36Updated last year
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆39Updated 2 years ago
• wyu97 / RACo
  Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.
  ☆21Updated 2 years ago
• liujch1998 / rainier
  ☆28Updated last year
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆26Updated 7 months ago
• Zce1112zslx / IKE
  ☆41Updated last year
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆35Updated 11 months ago
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• sunlab-osu / Understanding-CoT
  ☆86Updated last year
• XinyuanLu00 / SciTab
  The project page for "SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables"
  ☆19Updated last year
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆29Updated last year
• princeton-nlp / MABEL
  EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
  ☆37Updated last year
• matt-seb-ho / WikiWhy
  WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…
  ☆47Updated last year
• feyzaakyurek / dune
  Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.
  ☆23Updated 8 months ago
• yanaiela / pararel
  ☆44Updated last year
• WadeYin9712 / GeoMLAMA
  ☆15Updated 2 years ago
• epfl-dlab / invariant-language-models
  A framework to train language models to learn invariant representations.
  ☆14Updated 3 years ago
• kttian / llm_factuality_tuning
  ☆32Updated last year
• MtSomeThree / constrDecoding
  Constrained Decoding Project
  ☆17Updated last year
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆31Updated 9 months ago
• dqxiu / CaliNet
  ☆33Updated 2 years ago
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆28Updated 8 months ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆61Updated 10 months ago
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago