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20142026
most citedLearning Deep Transformer Models for Machine Translation

97 citations · 400 across the 54 of their papers we have counts for

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11 papers · 1 filter

cs.CL2026

Before the Arrest: Benchmarking LLMs on Criminal Profiling from Incomplete Evidence

Yutong Yao, Yanjie Cao, Guanhua Chen +5

Large Language Models (LLMs) are increasingly applied to legal and criminal justice tasks, yet existing work focuses almost exclusively on post-arrest scenarios where the suspect's…

cs.CL2026

IndicDetect: Evaluating Cross-Lingual LLM-Generated Text Detection for Hindi, Telugu, and Tamil

Bhaskar Ganesh Devalla, Junchao Wu, Nilesh Dokuparthi +4

The rapid proliferation of LLMs has further heightened the need to develop dependable AI-generated text detection, especially beyond English. Nevertheless, current benchmarks pay l…

cs.CL2026

Poller: Are LLMs Suitable for Evaluating the Poetry Understanding Task?

Shanshan Wang, Derek F. Wong, Jingming Yao +1

Traditional automatic evaluation methods have been shown to be unsuitable for modern Chinese poetry because of the distinct nature of this literary genre. Human evaluation remains…

cs.CL2026

From Texts to Scores: Tracing the Emergence of Essay Quality Representations in Large Language Models

Jiaxu Zuo, Mu You, Kaixin Lan +5

Recent advances in Large Language Models (LLMs) have substantially transformed Automated Essay Scoring (AES), yet the internal mechanisms underlying LLM-based scoring remain poorly…

cs.CL2026

G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment

Fengying Ye, Yanming Sun, Runzhe Zhan +3

Idioms are difficult to transfer across languages due to their non-compositionality and weak surface-form grounding, making literal mappings unreliable. We present G-IdiomAlign, a…

cs.CL2026

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models

Kaixin Lan, Mu You, Tao Fang +3

Pretraining is fundamental to the development of Large Language Models (LLMs), yet the opacity of pretraining data complicates model analysis and raises ethical, legal, and fairnes…

cs.CL2026

Worlds Within Words: Translating Culture in Ancient Chinese Texts with Multi-Agent Coordination

Xiaoqi He, Kaixin Lan, Mu You +3

Large language model (LLM)-based machine translation has advanced cross-cultural communication, yet it still struggles with culture-loaded words (CLWs) in ancient Chinese texts. Th…

cs.CL2026

From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAG

Guanhua Chen, Chuyue Huang, Yutong Yao +4

Multimodal Retrieval-Augmented Generation (RAG) systems retrieve evidence at coarse granularities (entire images or scenes), creating a mismatch with fine-grained user queries and…

cs.CL2026

Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA

Guanhua Chen, Yutong Yao, Shenghe Sun +5

Recent advances in vision-language models (VLMs) have achieved impressive results on standard image-text tasks, yet their potential for visual procedure question answering (VP-QA)…

cs.CL2026

Can ChatGPT Really Understand Modern Chinese Poetry?

Shanshan Wang, Derek F. Wong, Jingming Yao +1

ChatGPT has demonstrated remarkable capabilities on both poetry generation and translation, yet its ability to truly understand poetry remains unexplored. Previous poetry-related w…

cs.CL2026

Neuron-Aware Data Selection In Instruction Tuning For Large Language Models

Xin Chen, Junchao Wu, Shu Yang +6

Instruction Tuning (IT) has been proven to be an effective approach to unlock the powerful capabilities of large language models (LLMs). Recent studies indicate that excessive IT d…