Jing Xu
69 papers · 2008–2026 · 19 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 28 separate collaboration groups - the largest holds only 22% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jing Xu?
15 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Dandan Song, Zhijing Wu, Changzhi Zhou
6 papers
· 2021–2025
· IJCAI, EMNLP, NAACL
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Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
IJCAI 2025
Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering
EMNLP 2024
Separation and Fusion: A Novel Multiple Token Linking Model for Event Argument Extraction
NAACL 2024
Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking
AAAI 2023
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction
COLING 2022
Modularized Interaction Network for Named Entity Recognition
ACL 2021
13 papers whose co-authors appear nowhere else under this name
Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula
ACL 2026
Mesh-Pro: Asynchronous Advantage-guided Ranking Preference Optimization for Artist-style Quadrilateral Mesh Generation
CVPR 2026
Thinking in Dynamics: How Multimodal Large Language Models Perceive, Track, and Reason Dynamics in Physical 4D World
CVPR 2026
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
AAAI 2025
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
CVPR 2025
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
ICML 2025
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
AAAI 2025
Lemmatization of Cuneiform Languages Using the ByT5 Model
NAACL 2025
CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs
CVPR 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
NeurIPS 2024
Quantifying the Variability Collapse of Neural Networks
ICML 2023
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression
NeurIPS 2023
How memory biases affect information transmission: A rational analysis of serial reproduction
NeurIPS 2008