Shenbin Qian

19 papers A* 1C 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Scalar Scores: Reinforcement Learning for Error-Aware Quality Estimation of Machine Translation.
CoRR
Archchana Sindhujan, Girish A. Koushik, Shenbin Qian, Diptesh Kanojia, Constantin Orasan
2025 J jnl
ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models.
CoRR
Archchana Sindhujan, Shenbin Qian, Chan Chi Chun Matthew, Constantin Orasan, Diptesh Kanojia
2025 J jnl
Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation Systems.
CoRR
Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo
2025 J jnl
Human-Centred Evaluation of Text-to-Image Generation Models for Self-expression of Mental Distress: A Dataset Based on GPT-4o.
CoRR
Sui He, Shenbin Qian
2025 J jnl
NEAR
CoRR
Shenbin Qian, Diptesh Kanojia, Samarth Agrawal, Hadeel Saadany, Swapnil Bhosale, Constantin Orasan, Zhe Wu
2025 — conf
NEAR²: A Nested Embedding Approach to Efficient Product Retrieval and Ranking.
eCom@SIGIR
Shenbin Qian, Diptesh Kanojia, Samarth Agrawal, Hadeel Saadany, Swapnil Bhosale, Constantin Orasan, Zhe Wu
2025 J jnl
The Mind's Eye: A Multi-Faceted Reward Framework for Guiding Visual Metaphor Generation.
CoRR
Girish A. Koushik, Fatemeh Nazarieh, Katherine Birch, Shenbin Qian, Diptesh Kanojia
2025 — conf
When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages.
COLING Workshops
Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan, Shenbin Qian
2025 J jnl
When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages.
CoRR
Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan, Shenbin Qian
2024 — conf
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content.
WMT
Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo
2024 J jnl
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content.
CoRR
Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo
2024 J jnl
Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?
CoRR
Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo
2024 — conf
Character-level Language Models for Abbreviation and Long-form Detection.
LREC/COLING
Leonardo Zilio, Shenbin Qian, Diptesh Kanojia, Constantin Orasan
2024 — conf
Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC).
EAMT (2)
Shenbin Qian, Constantin Orasan, Félix do Carmo, Diptesh Kanojia
2024 A* conf
What do Large Language Models Need for Machine Translation Evaluation?
EMNLP
Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Frédéric Blain
2024 J jnl
What do Large Language Models Need for Machine Translation Evaluation?
CoRR
Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Frédéric Blain
2023 C conf
Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation.
EAMT
Shenbin Qian, Constantin Orasan, Félix do Carmo, Qiuliang Li, Diptesh Kanojia
2023 J jnl
Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation.
CoRR
Shenbin Qian, Constantin Orasan, Félix do Carmo, Qiuliang Li, Diptesh Kanojia
2022 — conf
SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion.
WASSA@ACL
Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany, Félix do Carmo