Alternatives and similar repositories for WikiGenBench

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

• Zce1112zslx / ChID_baseline
  计算语言学22-23学年秋季学期 课程大作业baseline实现
  ☆38Updated 2 years ago
• Yifan-Song793 / InfoCL
  Findings of EMNLP 2023: InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspe…
  ☆14Updated last year
• xiami2019 / CLAIF
  [Findings of ACL'2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback
  ☆40Updated 2 years ago
• PKU-TANGENT / ConFiguRe
  Dataset and baseline for Coling 2022 long paper (oral): "ConFiguRe: Exploring Discourse-level Chinese Figures of Speech"
  ☆11Updated 2 years ago
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆165Updated last year
• Hzfinfdu / MPMP
  ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning
  ☆40Updated 2 years ago
• NJUNLP / QAlign
  ☆38Updated last year
• zhliu0106 / probing-lm-data
  Official Implementation of "Probing Language Models for Pre-training Data Detection"
  ☆20Updated 10 months ago
• iwangjian / TopDial
  Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation (EMNLP 2023)
  ☆30Updated last year
• WeiminXiong / RationaleCL
  Rationale-enhanced language models are better continual relation learners (EMNLP 2023 Main Conference)
  ☆12Updated last year
• dqxiu / PLMs-with-Knowledge
  ☆16Updated 3 years ago
• wlr737 / EMNLP2022-SEEK
  ☆37Updated last year
• wangjs9 / Muffin
  Codes for Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback (ACL 2024 Findings)
  ☆16Updated last year
• October2001 / ProLong
  [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models
  ☆56Updated last year
• HappyGu0524 / MultiControl
  ☆42Updated last year
• pkunlp-icler / Two-Stage-CAMRP
  Source code for paper "A Two-Stage Method for Chinese AMR Parsing" @ CAMRP-2022 & CCL-2022
  ☆24Updated last year
• Spico197 / MoE-SFT
  🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
  ☆40Updated last year
• CUHK-ARISE / LLMPersonality
  Code and Results of the Paper: On the Reliability of Psychological Scales on Large Language Models
  ☆30Updated last year
• liyongqi67 / MMCoQA
  ☆32Updated last year
• Wangpeiyi9979 / ESD
  Code for NAACL2022 Long Paper "An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling"
  ☆28Updated 2 years ago
• hemingkx / CDec
  Codes for our paper "Enhancing Continual Relation Extraction via Classifier Decomposition" (Findings of ACL2023)
  ☆10Updated last year
• chenllliang / ATP-AMR
  Source code for paper "ATP: AMRize Than Parse! Enhancing AMR Parsing with PseudoAMRs" @NAACL-2022
  ☆14Updated 2 years ago
• zzhang0179 / Unveiling-Linguistic-Regions-in-LLMs
  [ACL 2024] Unveiling Linguistic Regions in Large Language Models
  ☆32Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆83Updated last year
• zhaochen0110 / conflictbank
  Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…
  ☆51Updated 4 months ago
• artpli / CodeIE
  [ACL 23] CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
  ☆38Updated 7 months ago
• Spico197 / awesome-lm-evaluation
  🩺 A collection of ChatGPT evaluation reports on various bechmarks.
  ☆50Updated 2 years ago
• Skytliang / COT-Reading-List
  ☆27Updated 2 years ago
• pkunlp-icler / IKE
  ☆26Updated 2 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 10 months ago