Alternatives and similar repositories for TDD

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

• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• google-research-datasets / GSM-IC
  Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…
  ☆62Updated 2 years ago
• xypan0 / G-DIG
  ☆12Updated last year
• feyzaakyurek / dune
  Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.
  ☆22Updated last year
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆74Updated 11 months ago
• Shark-NLP / self-adaptive-ICL
  self-adaptive in-context learning
  ☆45Updated 2 years ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆37Updated 4 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆70Updated 2 years ago
• dqxiu / KAssess
  ☆14Updated last year
• OhadRubin / EPR
  ☆64Updated 2 years ago
• allenai / hyperdecoders
  Codebase for Hyperdecoders https://arxiv.org/abs/2203.08304
  ☆13Updated 3 years ago
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆30Updated last year
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago
• BenfengXu / KNNPrompting
  Released code for our ICLR23 paper.
  ☆66Updated 2 years ago
• liyucheng09 / Contamination_Detector
  Lightweight tool to identify Data Contamination in LLMs evaluation
  ☆52Updated last year
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆29Updated last year
• swj0419 / in-context-pretraining
  ☆54Updated last year
• Zce1112zslx / IKE
  ☆41Updated last year
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• hexuandeng / Mono4SiMT
  The implementation for our paper, "Improving Simultaneous Machine Translation with Monolingual Data," accepted to AAAI 2023. 🎉
  ☆12Updated 2 years ago
• lancopku / MUKI
  [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models
  ☆19Updated 2 years ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆63Updated last year
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆62Updated 10 months ago
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆36Updated last year
• CriticBench / CriticBench
  [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
  ☆27Updated last year
• cambridgeltl / zepo
  Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)
  ☆13Updated last year
• chaochun / nlu-asdiv-dataset
  ☆49Updated 2 years ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 11 months ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated 2 years ago