Jiaxin Zhang
48 papers · 2015–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (15)
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Taxonomy Completionist
(12)
π§
Keyword Pioneer
π
Academic Marathon
(10)
π
Grand Slam
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
π₯
Unstoppable
(7)
β‘
Prolific Year
(6)
β
The Questioner
ποΈ
Keyword Collector
(214)
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Century Club
(45)
Conferences
EMNLP (10)
AAAI (7)
ACL (7)
CVPR (4)
NIPS (4)
AISTATS (3)
ICLR (2)
ICML (2)
NAACL (2)
WACV (2)
COLING (1)
EACL (1)
ICCV (1)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
large language model
(11)
hallucination mitigation
(4)
uncertainty quantification
(4)
retrieval-augmented generation
(4)
question answering
(4)
bias mitigation
(3)
generative model
(3)
prompt optimization
(3)
benchmark evaluation
(3)
hallucination detection
(3)
retrieval augmented generation
(3)
variational inference
(3)
multimodal large language model
(2)
bayesian optimization
(2)
normalizing flow
(2)
text generation
(2)
information retrieval
(2)
attention mechanism
(2)
mathematical reasoning
(2)
in-context learning
(2)
Papers
The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
AAAI 2026
GeWu: A Culturally-Grounded Chinese Benchmark for Multi-Stage Social Bias Evaluation in Large Language Models
AAAI 2026
Donβt Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination
ACL 2026
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation
EMNLP 2025
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
NAACL 2025
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
ICML 2025
UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models
ICLR 2025
Modality-Specialized Synergizers for Interleaved Vision-Language Generalists
ICLR 2025
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming
AAAI 2025
CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models
COLING 2025
LLMs Trust Humans More, Thatβs a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
ACL 2025
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
ACL 2025
The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing
ACL 2025
Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey
ACL 2025
RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs
ACL 2025
Confidence-Aware Reasoning: Optimizing Self-Guided Thinking Trajectories in Large Reasoning Models
EMNLP 2025
Towards Statistical Factuality Guarantee for Large Vision-Language Models
EMNLP 2025
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting
CVPR 2025
HyQE: Ranking Contexts with Hypothetical Query Embeddings
EMNLP 2024
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving
ACL 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
AISTATS 2024
DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
CVPR 2024
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
EACL 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
EMNLP 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
EMNLP 2024
Holistic Evaluation for Interleaved Text-and-Image Generation
EMNLP 2024
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models
EMNLP 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
EMNLP 2024
UPOCR: Towards Unified Pixel-Level OCR Interface
ICML 2024
GOLD: Geometry Problem Solver with Natural Language Description
NAACL 2024
DECDM: Document Enhancement Using Cycle-Consistent Diffusion Models
WACV 2024
On the Quantification of Image Reconstruction Uncertainty Without Training Data
WACV 2024
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis
CVPR 2023
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
NIPS 2023
ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer
ICCV 2023
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling
AAAI 2023
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution
AAAI 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
ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler
NIPS 2022
Enabling long-range exploration in minimization of multimodal functions
UAI 2021
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution
AAAI 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models
AISTATS 2021
On the Stochastic Stability of Deep Markov Models
NIPS 2021
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction
IJCAI 2020
Learning nonlinear level sets for dimensionality reduction in function approximation
NIPS 2019
Power-Law Graph Cuts
AISTATS 2015