RulinShao / RAG-evaluation-harnessesLinks
An evaluation suite for Retrieval-Augmented Generation (RAG).
☆21Updated 4 months ago
Alternatives and similar repositories for RAG-evaluation-harnesses
Users that are interested in RAG-evaluation-harnesses are comparing it to the libraries listed below
Sorting:
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆54Updated 6 months ago
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆28Updated 9 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆54Updated 2 years ago
- Code for the EMNLP24 paper "A simple and effective L2 norm based method for KV Cache compression."☆16Updated 8 months ago
- ☆13Updated 2 months ago
- Codebase for Instruction Following without Instruction Tuning☆35Updated 11 months ago
- Exploration of automated dataset selection approaches at large scales.☆47Updated 6 months ago
- ☆16Updated last year
- ☆38Updated last year
- Official Implementation of "DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucination"☆24Updated 8 months ago
- ☆65Updated last year
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆62Updated 8 months ago
- ☆26Updated last year
- AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers☆47Updated 2 years ago
- Test-time-training on nearest neighbors for large language models☆45Updated last year
- Long Context Extension and Generalization in LLMs☆59Updated 11 months ago
- This is the official repo of "QuickLLaMA: Query-aware Inference Acceleration for Large Language Models"☆54Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆31Updated 2 years ago
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated 2 years ago
- Kinetics: Rethinking Test-Time Scaling Laws☆80Updated last month
- RapidIn: Scalable Influence Estimation for Large Language Models (LLMs). The implementation for paper "Token-wise Influential Training Da…☆19Updated 4 months ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆59Updated 3 weeks ago
- Code for "Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model", EMNLP Findings 20…☆28Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models☆58Updated 9 months ago
- Code for the preprint "Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs?"☆44Updated last month
- [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning☆19Updated 2 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 7 months ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆23Updated last year