Alternatives and similar repositories for DEBATunE

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

• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆43Updated last year
• chaochun / nlu-asdiv-dataset
  ☆52Updated 2 years ago
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆31Updated last year
• csitfun / LogiCoT
  the instructions and demonstrations for building a formal logical reasoning capable GLM
  ☆55Updated last year
• princeton-nlp / PTP
  Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073
  ☆31Updated last year
• abhika-m / FAVA
  ☆75Updated last year
• thunlp / Prompt-Transferability
  On Transferability of Prompt Tuning for Natural Language Processing
  ☆100Updated last year
• YuxiXie / SelfEval-Guided-Decoding
  ☆102Updated 2 years ago
• veronica320 / Faithful-COT
  Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".
  ☆165Updated last year
• shizhediao / automate-cot
  Source code for the paper "Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data"
  ☆20Updated 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…
  ☆64Updated 2 years ago
• GAIR-NLP / Preference-Dissection
  ☆25Updated last year
• DAMO-NLP-SG / contrastive-cot
  Contrastive Chain-of-Thought Prompting
  ☆68Updated 2 years ago
• vicgalle / zero-shot-reward-models
  ZYN: Zero-Shot Reward Models with Yes-No Questions
  ☆35Updated 2 years ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆169Updated 4 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆53Updated 7 months ago
• Arvid-pku / ALCUNA
  [EMNLP 2023] ALCUNA: Large Language Models Meet New Knowledge
  ☆28Updated 2 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆109Updated 2 years ago
• cambridgeltl / PairS
  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)
  ☆48Updated last year
• Re-Align / just-eval
  A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
  ☆90Updated last year
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆102Updated last year
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆85Updated last year
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆134Updated last year
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆56Updated last year
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆41Updated 2 years ago
• WadeYin9712 / Dynosaur
  Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)
  ☆64Updated 2 years ago
• NanshineLoong / Self-Evolving-Benchmark
  A framework for evolving and testing question-answering datasets with various models.
  ☆21Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆36Updated last year