Mercidaiha / IRT-RouterLinks
[ACL'25] Code for ACL'25 paper "IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory"
☆18Updated 9 months ago
Alternatives and similar repositories for IRT-Router
Users that are interested in IRT-Router are comparing it to the libraries listed below
Sorting:
- ☆60Updated 11 months ago
- A RL Framework for multi LLM agent system☆63Updated last month
- PoC for "SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning" [NeurIPS '25]☆58Updated last month
- ☆29Updated last month
- ☆39Updated last year
- EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).☆70Updated last year
- [ACL 2025 main] FR-Spec: Frequency-Ranked Speculative Sampling☆47Updated 4 months ago
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆86Updated 8 months ago
- ☆46Updated 6 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆47Updated last year
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆117Updated 4 months ago
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆206Updated 5 months ago
- Official Implementation of SAM-Decoding: Speculative Decoding via Suffix Automaton☆36Updated 9 months ago
- [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length☆130Updated 3 weeks ago
- ☆34Updated 9 months ago
- Accepted LLM Papers in NeurIPS 2024☆37Updated last year
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆64Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆146Updated 9 months ago
- [ICML 2025] Reward-guided Speculative Decoding (RSD) for efficiency and effectiveness.☆51Updated 6 months ago
- A curated list of early exiting (LLM, CV, NLP, etc)☆68Updated last year
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆114Updated 3 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆93Updated 2 years ago
- APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail Generation. A system-level optimization for scalable LLM tra…☆43Updated last month
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆209Updated 9 months ago
- Implementation for FP8/INT8 Rollout for RL training without performence drop.☆275Updated 2 weeks ago
- 🔥 LLM-powered GPU kernel synthesis: Train models to convert PyTorch ops into optimized Triton kernels via SFT+RL. Multi-turn compilation…☆99Updated last week
- ☆19Updated 6 months ago
- ☆54Updated 2 years ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆41Updated last year
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆63Updated last year