Alternatives and similar repositories for SunGen

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

• jiacheng-ye / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆48Updated 3 years ago
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆27Updated 2 years ago
• Nanami18 / Snowballed_Hallucination
  ☆44Updated last year
• dqxiu / KAssess
  ☆14Updated last year
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 2 years ago
• Zce1112zslx / IKE
  ☆41Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆29Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆63Updated last year
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• chang-github-00 / LLM-Predictive-Decoding
  ☆14Updated 2 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆110Updated 2 years ago
• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆30Updated last year
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆28Updated 11 months ago
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆102Updated 2 years ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆27Updated 11 months ago
• lancopku / MUKI
  [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models
  ☆19Updated 2 years ago
• LuoXiaoHeics / Continual-Tune
  ☆10Updated 7 months ago
• OhadRubin / EPR
  ☆63Updated 2 years ago
• HKUNLP / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆16Updated 3 years ago
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago
• ZhaofengWu / counterfactual-evaluation
  ☆57Updated 3 months ago
• xiye17 / TextualExplInContext
  The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)
  ☆16Updated 2 years ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆22Updated last year
• launchnlp / BOLT
  Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".
  ☆20Updated 2 years ago
• wyu97 / RACo
  Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.
  ☆22Updated 2 years ago
• swj0419 / in-context-pretraining
  ☆53Updated last year