Shenbin Qian

According to our database, Shenbin Qian authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation.

Shenbin Qian, Yves Scherrer

CoRR, May, 2026

Beyond Scalar Scores: Reinforcement Learning for Error-Aware Quality Estimation of Machine Translation.

Archchana Sindhujan, Girish A. Koushik, Shenbin Qian, Diptesh Kanojia, Constantin Orasan

CoRR, February, 2026

2025

Human-Centred Evaluation of Text-to-Image Generation Models for Self-expression of Mental Distress: A Dataset Based on GPT-4o.

Sui He, Shenbin Qian

CoRR, December, 2025

The Mind's Eye: A Multi-Faceted Reward Framework for Guiding Visual Metaphor Generation.

Girish A. Koushik, Fatemeh Nazarieh, Katherine Birch, Shenbin Qian, Diptesh Kanojia

CoRR, August, 2025

ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models.

Archchana Sindhujan, Shenbin Qian, Chan Chi Chun Matthew, Constantin Orasan, Diptesh Kanojia

CoRR, August, 2025

NEAR²: A Nested Embedding Approach to Efficient Product Retrieval and Ranking.

Shenbin Qian, Diptesh Kanojia, Samarth Agrawal, Hadeel Saadany, Swapnil Bhosale, Constantin Orasan, Zhe Wu

CoRR, June, 2025

Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation Systems.

Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo

CoRR, March, 2025

NEAR²: A Nested Embedding Approach to Efficient Product Retrieval and Ranking.

Shenbin Qian, Diptesh Kanojia, Samarth Agrawal, Hadeel Saadany, Swapnil Bhosale, Constantin Orasan, Zhe Wu

Proceedings of the ACM SIGIR Workshop on eCommerce 2025 co-located with the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), 2025

When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages.

Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan, Shenbin Qian

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?

Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo

CoRR, 2024

A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content.

Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo

Proceedings of the Ninth Conference on Machine Translation, 2024

What do Large Language Models Need for Machine Translation Evaluation?

Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Frédéric Blain

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC).

Shenbin Qian, Constantin Orasan, Félix do Carmo, Diptesh Kanojia

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), 2024

Character-level Language Models for Abbreviation and Long-form Detection.

Leonardo Zilio, Shenbin Qian, Diptesh Kanojia, Constantin Orasan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation.

Shenbin Qian, Constantin Orasan, Félix do Carmo, Qiuliang Li, Diptesh Kanojia

Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

2022

SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion.

Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany, Félix do Carmo

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022