activity
20182025
most citedUnderstanding and Improving Layer Normalization

178 citations · 737 across the 23 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

eess.AS20247 cited

Qwen2-Audio Technical Report

Yunfei Chu, Jin Xu, Qian Yang +9

We introduce the latest progress of Qwen-Audio, a large-scale audio-language model called Qwen2-Audio, which is capable of accepting various audio signal inputs and performing audi…

cs.CL202460 cited

Qwen2 Technical Report

An Yang, Baosong Yang, Binyuan Hui +59

This report introduces the Qwen2 series, the latest addition to our large language models and large multimodal models. We release a comprehensive suite of foundational and instruct…

cs.CL2024

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

Zhe Yang, Yichang Zhang, Tianyu Liu +4

Large language models (LLMs) have demonstrated impressive capabilities, but still suffer from inconsistency issues (e.g. LLMs can react differently to disturbances like rephrasing…

cs.CL2024

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback

Bofei Gao, Zefan Cai, Runxin Xu +10

In recent progress, mathematical verifiers have achieved success in mathematical reasoning tasks by validating the correctness of solutions generated by policy models. However, exi…

cs.CV20241 cited

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

Liang Chen, Haozhe Zhao, Tianyu Liu +4

In this study, we identify the inefficient attention phenomena in Large Vision-Language Models (LVLMs), notably within prominent models like LLaVA-1.5, QwenVL-Chat and Video-LLaVA.…