Jiaxin Zhang
49 papers · 2015–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Jiaxin Zhang?
6 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 Kamalika Das, Sricharan Kumar, Zhuohang Li
20 papers
· 2021–2025
· EMNLP, ACL, AAAI
Hide ▲
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
NAACL 2025
Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey
ACL 2025
Modality-Specialized Synergizers for Interleaved Vision-Language Generalists
ICLR 2025
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation
EMNLP 2025
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
ACL 2025
Towards Statistical Factuality Guarantee for Large Vision-Language Models
EMNLP 2025
DECDM: Document Enhancement Using Cycle-Consistent Diffusion Models
WACV 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
AISTATS 2024
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models
EMNLP 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
EMNLP 2024
Holistic Evaluation for Interleaved Text-and-Image Generation
EMNLP 2024
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
EACL 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
EMNLP 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
EMNLP 2024
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution
AAAI 2023
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
NeurIPS 2023
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
EMNLP 2023
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
CVPR 2022
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification
AAAI 2022
On the Stochastic Stability of Deep Markov Models
NeurIPS 2021
7 papers whose co-authors appear nowhere else under this name
Don’t Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination
ACL 2026
What's Wrong with Synthetic Data for Scene Text Recognition? A Strong Synthetic Engine with Diverse Simulations and Self-Evolution
CVPR 2026
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting
CVPR 2025
Confidence-Aware Reasoning: Optimizing Self-Guided Thinking Trajectories in Large Reasoning Models
EMNLP 2025
HyQE: Ranking Contexts with Hypothetical Query Embeddings
EMNLP 2024
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction
IJCAI 2020
Power-Law Graph Cuts
AISTATS 2015