Alternatives and similar repositories for Causal_LLM:

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

• anpwu / Awesome-Causal-LLM
  ☆32Updated 5 months ago
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆96Updated 11 months ago
• chendl02 / Awesome-LLM-Causal-Reasoning
  [NAACL 25 main] Awesome LLM Causal Reasoning is a collection of LLM-based casual reasoning works, including papers, codes and datasets.
  ☆53Updated last month
• superkaiba / causal-llm-bfs
  Efficient Full Causal Graph Discovery Using Large Language Models
  ☆34Updated last year
• wan19990901 / Causal-LLM-Paper
  Papers collections that is related to knowledge graph, causal inference, and large language model
  ☆48Updated 8 months ago
• StephLong614 / Causal-disco-LLM-imperfect-experts
  ☆17Updated 10 months ago
• HKUST-KnowComp / COLA
  Official code repository for the main conference paper in ACL2023: COLA: Contextualized Commonsense Causality Reasoning from the Causal I…
  ☆28Updated last year
• zjunlp / knowledge-rumination
  [EMNLP 2023] Knowledge Rumination for Pre-trained Language Models
  ☆17Updated last year
• causalNLP / cladder
  We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.
  ☆115Updated 10 months ago
• eric11eca / disco
  Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…
  ☆36Updated last year
• causal-machine-learning-lab / Awesome-Causal-LLM
  ☆29Updated 5 months ago
• Scarelette / CulturePark
  ☆19Updated 5 months ago
• RyanWangZf / PromptEHR
  EMNLP'22 | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
  ☆28Updated last year
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• tanfiona / UniCausal
  Unified benchmark and model for causal text mining
  ☆21Updated last year
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆126Updated last week
• tapilab / emnlp-2020-spurious
  ☆17Updated 4 years ago
• LinxinS97 / NLPBench
  NLPBench: Evaluating NLP-Related Problem-solving Ability in Large Language Models
  ☆10Updated last year
• iLampard / lamp
  PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023
  ☆58Updated last year
• SteveKGYang / MetaAligner
  Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
  ☆18Updated 6 months ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆76Updated 10 months ago
• behavioral-data / BLADE
  Code for Benchmarking Language Model Agents for Data-Driven Science
  ☆25Updated 5 months ago
• ritaranx / ClinGen
  [ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation wi…
  ☆38Updated 9 months ago
• BingzhaoZhu / XTab
  ☆35Updated 2 years ago
• dylan-slack / Tablet
  The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.
  ☆20Updated last year
• tatsu-lab / conformal-factual-lm
  ☆24Updated last year
• frankaging / Causal-Distill
  The Codebase for Causal Distillation for Language Models (NAACL '22)
  ☆25Updated 2 years ago
• BunsenFeng / FactKB
  Code for "FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge". EMNLP 2023.
  ☆18Updated last year
• ulab-uiuc / GoR
  Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
  ☆20Updated 6 months ago
• JacksonWuxs / Interpret_Instruction_Tuning_LLMs
  Understanding Why and How Instruction Tuning Changes Pre-trained Models
  ☆22Updated last year