Wenxiang Jiao
35 papers · 2019–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (69) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(25)
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Topic Evolution
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(14)
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The Questioner
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Prolific Year · Prolific
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Century Club · Bronze
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Research topics
Natural Language Processing
(26)
Artificial Intelligence
(22)
Machine Learning
(22)
Deep Learning
(20)
Core AI
(20)
Applications
(18)
Learning Types · Machine Learning
(13)
Resources & Methods
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Learning Types · Deep Learning
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Application Areas
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Models
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Optimization & Theory
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Techniques
(3)
Computer Vision
(2)
Knowledge & Reasoning
(2)
Keywords
large language model
(15)
neural machine translation
(6)
benchmark evaluation
(4)
machine translation
(4)
sign language translation
(4)
emotion recognition
(3)
knowledge distillation
(3)
data augmentation
(3)
safety alignment
(2)
instruction following
(2)
distributionally robust optimization
(2)
text generation
(2)
representation learning
(2)
instruction tuning
(2)
domain adaptation
(2)
transfer learning
(2)
multilingual translation
(2)
unsupervised learning
(2)
prompt engineering
(2)
document-level translation
(2)
Papers
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
ACL 2026
LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls
ACL 2026
Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing
ACL 2025
Competing Large Language Models in Multi-Agent Gaming Environments
ICLR 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
ACL 2025
Learning to Ask: When LLM Agents Meet Unclear Instruction
EMNLP 2025
RaSA: Rank-Sharing Low-Rank Adaptation
ICLR 2025
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
ACL 2025
All Languages Matter: On the Multilingual Safety of LLMs
ACL 2024
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans
NeurIPS 2024
Benchmarking and Improving Long-Text Translation with Large Language Models
ACL 2024
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
EMNLP 2024
Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation
EMNLP 2024
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
ICLR 2024
Improving Gloss-free Sign Language Translation by Reducing Representation Density
NeurIPS 2024
Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model
NAACL 2024
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
EMNLP 2024
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
NeurIPS 2024
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models
ACL 2024
On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs
ICLR 2024
On the Reliability of Psychological Scales on Large Language Models
EMNLP 2024
Unsupervised Sign Language Translation and Generation
ACL 2024
Cross-modality Data Augmentation for End-to-End Sign Language Translation
EMNLP 2023
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation
ACL 2023
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback
EMNLP 2023
Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation
EACL 2023
Adapters for Enhanced Modeling of Multilingual Knowledge and Text
EMNLP 2022
Tencent’s Multilingual Machine Translation System for WMT22 Large-Scale African Languages
EMNLP 2022
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
ACL 2022
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation
NAACL 2021
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
ACL 2021
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
EMNLP 2020
Exploiting Unsupervised Data for Emotion Recognition in Conversations
EMNLP 2020
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
AAAI 2020
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition
NAACL 2019