debjitpaul / Causal_CoTLinks
About The corresponding code from our paper " Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning" . Do not hesitate to open an issue if you run into any trouble!
☆11Updated 9 months ago
Alternatives and similar repositories for Causal_CoT
Users that are interested in Causal_CoT are comparing it to the libraries listed below
Sorting:
- An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation☆27Updated last year
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated 3 weeks ago
- A scalable automated alignment method for large language models. Resources for "Aligning Large Language Models via Self-Steering Optimiza…☆18Updated 7 months ago
- ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation☆24Updated 3 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning☆42Updated 2 years ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- NAACL 2022: MCSE: Multimodal Contrastive Learning of Sentence Embeddings☆55Updated last year
- ☆12Updated last year
- ☆27Updated 2 years ago
- Interpretable unified language safety checking with large language models☆30Updated 2 years ago
- Resolving Knowledge Conflicts in Large Language Models, COLM 2024☆17Updated last week
- ☆11Updated last year
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆16Updated 3 years ago
- ☆14Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- ☆19Updated last month
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated 2 years ago
- ☆28Updated last year
- Code for "Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning" (EMNLP 2022) and "Empowering Parameter-Efficient Transfer Learning…☆12Updated 2 years ago
- Implementation for the paper "Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning"☆10Updated 5 months ago
- [NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Lea…☆74Updated last year
- [NAACL 2024] A Synthetic, Scalable and Systematic Evaluation Suite for Large Language Models☆32Updated last year
- Few-shot Learning with Auxiliary Data☆28Updated last year
- Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.☆22Updated 2 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆67Updated 2 years ago
- [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective☆33Updated last year
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆32Updated last year
- Code for paper 'Data-Efficient FineTuning'☆29Updated 2 years ago