Alternatives and similar repositories for ContraCLM

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

• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆32Updated last year
• eladsegal / strategyqa
  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
  ☆75Updated 2 years ago
• swj0419 / in-context-pretraining
  ☆52Updated last year
• WENGSYX / Self-Verification
  We have released the code and demo program required for LLM with self-verification
  ☆60Updated last year
• bigcode-project / astraios
  Astraios: Parameter-Efficient Instruction Tuning Code Language Models
  ☆58Updated last year
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆22Updated 11 months ago
• kaistAI / LangBridge
  [ACL 2024] LangBridge: Multilingual Reasoning Without Multilingual Supervision
  ☆90Updated 8 months ago
• ntunlp / LLMSanitize
  An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).
  ☆57Updated 11 months ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆81Updated 11 months ago
• liyucheng09 / Contamination_Detector
  Lightweight tool to identify Data Contamination in LLMs evaluation
  ☆51Updated last year
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 10 months ago
• microsoft / LEMA
  official repo for the paper "Learning From Mistakes Makes LLM Better Reasoner"
  ☆59Updated last year
• zthang / Focus
  ☆19Updated last year
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆114Updated last year
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆71Updated 8 months ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 2 years ago
• facebookresearch / mbr-exec
  code for "Natural Language to Code Translation with Execution"
  ☆41Updated 2 years ago
• jzbjyb / ReAtt
  Retrieval as Attention
  ☆83Updated 2 years ago
• hitz-zentroa / lm-contamination
  The LM Contamination Index is a manually created database of contamination evidences for LMs.
  ☆78Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆43Updated last year
• Zayne-sprague / MuSR
  ☆45Updated 11 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆99Updated last year
• crux-eval / eval-arena
  ☆28Updated last week
• neulab / data-agora
  [arXiv preprint] Official Repository for "Evaluating Language Models as Synthetic Data Generators"
  ☆33Updated 7 months ago
• sunlab-osu / Understanding-CoT
  ☆87Updated 2 years ago
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆48Updated 7 months ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆131Updated 2 years ago
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆98Updated 2 years ago
• nayeon7lee / FactualityPrompt
  ☆87Updated 2 years ago
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆89Updated last year