Hritikbansal / sparse_feedbackLinks
☆29Updated last year
Alternatives and similar repositories for sparse_feedback
Users that are interested in sparse_feedback are comparing it to the libraries listed below
Sorting:
- Code for this paper "HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts via HyperNetwork"☆33Updated last year
- [NeurIPS 2023] PyTorch code for Can Language Models Teach? Teacher Explanations Improve Student Performance via Theory of Mind☆66Updated last year
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆118Updated last year
- Flacuna was developed by fine-tuning Vicuna on Flan-mini, a comprehensive instruction collection encompassing various tasks. Vicuna is al…☆111Updated last year
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆49Updated 3 weeks ago
- Official repo for EMNLP 2023 paper "Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations…☆29Updated last year
- Code and data from the paper 'Human Feedback is not Gold Standard'☆19Updated last year
- Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"☆131Updated last year
- Official implementation of "Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models"☆36Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆35Updated 2 years ago
- Official implementation for "Law of the Weakest Link: Cross capabilities of Large Language Models"☆42Updated 10 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆60Updated last year
- ☆45Updated 4 months ago
- Code and data for CoachLM, an automatic instruction revision approach LLM instruction tuning.☆60Updated last year
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated 2 years ago
- ☆100Updated last year
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated last year
- ☆23Updated 11 months ago
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- List of papers on Self-Correction of LLMs.☆74Updated 8 months ago
- ☆29Updated 3 weeks ago
- Codebase for Instruction Following without Instruction Tuning☆35Updated 11 months ago
- Code for "C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing"☆18Updated 4 months ago
- Backtracing: Retrieving the Cause of the Query, EACL 2024 Long Paper, Findings.☆90Updated last year
- ReBase: Training Task Experts through Retrieval Based Distillation☆29Updated 6 months ago
- [ACL2025 Findings] Benchmarking Multihop Multimodal Internet Agents☆46Updated 6 months ago
- Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)☆29Updated last year
- The official implementation of Self-Exploring Language Models (SELM)☆64Updated last year