liyucheng09 / Selective_ContextLinks
Compress your input to ChatGPT or other LLMs, to let them process 2x more content and save 40% memory and GPU time.
☆409Updated last year
Alternatives and similar repositories for Selective_Context
Users that are interested in Selective_Context are comparing it to the libraries listed below
Sorting:
- [Preprint] Learning to Filter Context for Retrieval-Augmented Generaton☆196Updated last year
- ☆313Updated last year
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆326Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆482Updated last year
- [ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning☆233Updated last year
- [EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation☆310Updated last year
- Generative Judge for Evaluating Alignment☆249Updated 2 years ago
- Official Implementation of "Multi-Head RAG: Solving Multi-Aspect Problems with LLMs"☆237Updated 3 months ago
- Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)☆385Updated 2 months ago
- This is the official repo for "PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization". PromptAgen…☆347Updated 6 months ago
- Open Source WizardCoder Dataset☆163Updated 2 years ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆285Updated 2 years ago
- Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs".☆241Updated last year
- ☆278Updated 2 years ago
- FireAct: Toward Language Agent Fine-tuning☆291Updated 2 years ago
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆264Updated 6 months ago
- Benchmark baseline for retrieval qa applications☆119Updated last year
- FuseAI Project☆586Updated last year
- Run evaluation on LLMs using human-eval benchmark☆426Updated 2 years ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆507Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆584Updated last year
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement☆193Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆370Updated last year
- ☆159Updated last year
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆218Updated last year
- RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.☆145Updated 3 weeks ago
- [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.☆254Updated last year
- ☆242Updated last year
- Code repo for "Agent Instructs Large Language Models to be General Zero-Shot Reasoners"☆120Updated 3 months ago
- ☆211Updated 9 months ago