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Found 5 papers, 2 papers with code
LQER: Low-Rank Quantization Error Reconstruction for LLMs
Post-training quantization of Large Language Models (LLMs) is challenging.
Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?
In this work, we explore the statistical and learning properties of the LLM layer and attribute the bottleneck of LLM quantisation to numerical scaling offsets.
SEER: Super-Optimization Explorer for HLS using E-graph Rewriting with MLIR
We propose a super-optimization approach for HLS that automatically rewrites an arbitrary software program into efficient HLS code that can be used to generate an optimized hardware design.
A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search
This framework has been successfully applied to Baidu's sponsored search system, which yields a significant improvement in revenue.
Building a comprehensive syntactic and semantic corpus of Chinese clinical texts
Objective: To build a comprehensive corpus covering syntactic and semantic annotations of Chinese clinical texts with corresponding annotation guidelines and methods as well as to develop tools trained on the annotated corpus, which supplies baselines for research on Chinese texts in the clinical domain.
