tianyi-lab / RuleR
RuleR: Improving LLM Controllability by Rule-based Data Recycling
☆12Updated 2 months ago
Alternatives and similar repositories for RuleR:
Users that are interested in RuleR are comparing it to the libraries listed below
- Mosaic IT: Enhancing Instruction Tuning with Data Mosaics☆17Updated 2 months ago
- Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).☆25Updated 8 months ago
- AbstainQA, ACL 2024☆25Updated 6 months ago
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆26Updated 4 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆48Updated 10 months ago
- Exploration of automated dataset selection approaches at large scales.☆39Updated last month
- Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073☆28Updated 9 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆47Updated 4 months ago
- [NeurIPS 2024] A comprehensive benchmark for evaluating critique ability of LLMs☆39Updated 4 months ago
- Official Repository of Are Your LLMs Capable of Stable Reasoning?☆25Updated last month
- ☆41Updated last year
- This the implementation of LeCo☆32Updated 3 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆139Updated 6 months ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated 11 months ago
- Source code for the paper "Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data"☆20Updated last year
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆16Updated last year
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆26Updated last year
- RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment☆16Updated 4 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆69Updated 8 months ago
- [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA☆25Updated last year
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆41Updated last year
- ☆14Updated 10 months ago
- ☆17Updated 5 months ago
- ☆69Updated last year
- Evaluate the Quality of Critique☆34Updated 10 months ago
- A trainable user simulator☆34Updated 7 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆63Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆61Updated 6 months ago
- Codes for Merging Large Language Models☆29Updated 8 months ago