leezythu / FocusLLM
FocusLLM: Scaling LLM’s Context by Parallel Decoding
☆39Updated 3 months ago
Alternatives and similar repositories for FocusLLM:
Users that are interested in FocusLLM are comparing it to the libraries listed below
- This is the official repo of "QuickLLaMA: Query-aware Inference Acceleration for Large Language Models"☆45Updated 8 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆80Updated 6 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆44Updated this week
- ☆76Updated 2 months ago
- LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification☆42Updated last month
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆64Updated last week
- "Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiw…☆28Updated 10 months ago
- [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection☆40Updated 5 months ago
- Code for paper "Patch-Level Training for Large Language Models"☆81Updated 4 months ago
- ☆17Updated 4 months ago
- Large Language Models Can Self-Improve in Long-context Reasoning☆67Updated 4 months ago
- ☆52Updated 3 weeks ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆76Updated last year
- ☆73Updated last week
- ☆16Updated 2 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆46Updated 3 months ago
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆60Updated 5 months ago
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆35Updated 10 months ago
- [NAACL 2025 Oral] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models☆40Updated 3 weeks ago
- Code for Paper: Teaching Language Models to Critique via Reinforcement Learning☆84Updated last month
- The code and data for the paper JiuZhang3.0☆43Updated 10 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆170Updated 3 weeks ago
- [NAACL 2025] Source code for MMEvalPro, a more trustworthy and efficient benchmark for evaluating LMMs☆23Updated 6 months ago
- Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling☆95Updated 2 months ago
- Long Context Extension and Generalization in LLMs☆50Updated 6 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆51Updated 4 months ago
- [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning☆41Updated 8 months ago
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆47Updated 5 months ago
- The rule-based evaluation subset and code implementation of Omni-MATH☆18Updated 3 months ago
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆31Updated last month