Alternatives and similar repositories for basis-aware-threshold

Users that are interested in basis-aware-threshold are comparing it to the libraries listed below

• ndaheim / faithful-dialogue
  ☆24Updated 2 years ago
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆41Updated last year
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• yanaiela / pararel
  ☆45Updated last year
• Yushi-Hu / IC-DST
  Code base of In-Context Learning for Dialogue State tracking
  ☆45Updated last year
• swj0419 / kNN_prompt
  TBC
  ☆27Updated 2 years ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆22Updated 11 months ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated 2 years ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆138Updated 3 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆67Updated 2 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 3 years ago
• Adaxry / Post-Instruction
  ☆21Updated last year
• swj0419 / in-context-pretraining
  ☆53Updated last year
• shuo-git / VecConstNMT
  ☆25Updated 2 years ago
• AkariAsai / evidentiality_qa
  The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).
  ☆44Updated 2 years ago
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆98Updated 2 years ago
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• mireshghallah / mixmatch
  Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models
  ☆44Updated 3 years ago
• DevSinghSachan / art
  Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
  ☆62Updated 2 years ago
• princeton-nlp / ShortcutGrammar
  EMNLP 2022: Finding Dataset Shortcuts with Grammar Induction https://arxiv.org/abs/2210.11560
  ☆58Updated 4 months ago
• dmis-lab / TouR
  Findings of ACL'2023: Optimizing Test-Time Query Representations for Dense Retrieval
  ☆30Updated last year
• joeljang / temporalwiki
  [EMNLP 2022] TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
  ☆72Updated last year
• Yale-LILY / ROSE
  ☆39Updated 2 years ago
• alisawuffles / DExperts
  code associated with ACL 2021 DExperts paper
  ☆115Updated 2 years ago
• microsoft / HaDes
  Token-level Reference-free Hallucination Detection
  ☆95Updated last year
• hitz-zentroa / lm-contamination
  The LM Contamination Index is a manually created database of contamination evidences for LMs.
  ☆78Updated last year
• monologg / EncT5
  Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks
  ☆63Updated 3 years ago
• martiansideofthemoon / rankgen
  Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…
  ☆136Updated last year
• kayoyin / interpret-lm
  Interpreting Language Models with Contrastive Explanations (EMNLP 2022 Best Paper Honorable Mention)
  ☆62Updated 3 years ago
• mikejqzhang / SituatedQA
  ☆21Updated 2 years ago