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20232026
most citedA Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering

8 citations · 20 across the 29 of their papers we have counts for

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Showing 2025 · cs.CLShow all

7 papers · 2 filters

cs.CL2025

Marco-Voice Technical Report

Fengping Tian, Chenyang Lyu, Xuanfan Ni +8

This paper presents a multifunctional speech synthesis system that integrates voice cloning and emotion control speech synthesis within a unified framework. The goal of this work i…

cs.CL2025

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models

Bo Zeng, Chenyang Lyu, Sinuo Liu +14

Instruction-following capability has become a major ability to be evaluated for Large Language Models (LLMs). However, existing datasets, such as IFEval, are either predominantly m…

cs.CL2025

TransBench: Benchmarking Machine Translation for Industrial-Scale Applications

Haijun Li, Tianqi Shi, Zifu Shang +13

Machine translation (MT) has become indispensable for cross-border communication in globalized industries like e-commerce, finance, and legal services, with recent advancements in…

cs.CL2025★ 1 cited

The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks

Minghao Wu, Weixuan Wang, Sinuo Liu +7

As large language models (LLMs) continue to advance in linguistic capabilities, robust multilingual evaluation has become essential for promoting equitable technological progress.…

cs.CL2025

New Trends for Modern Machine Translation with Large Reasoning Models

Sinuo Liu, Chenyang Lyu, Minghao Wu +4

Recent advances in Large Reasoning Models (LRMs), particularly those leveraging Chain-of-Thought reasoning (CoT), have opened brand new possibility for Machine Translation (MT). Th…

cs.CL2025

Towards Lightweight, Adaptive and Attribute-Aware Multi-Aspect Controllable Text Generation with Large Language Models

Chenyu Zhu, Yefeng Liu, Chenyang Lyu +5

Multi-aspect controllable text generation aims to control text generation in attributes from multiple aspects, making it a complex but powerful task in natural language processing.…

cs.CL2025

ReFreeKV: Towards Threshold-Free KV Cache Compression

Xuanfan Ni, Liyan Xu, Chenyang Lyu +6

To reduce memory consumption during LLM inference, a handful of methods have been proposed for KV cache pruning. While these techniques can accomplish lossless memory reduction on…