Zhiqi Huang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
TCDA: Thread-Constrained Discourse-Aware Modeling for Conversational Sentiment Quadruple Analysis.
CoRR, May, 2026

Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models.
CoRR, April, 2026

WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models.
CoRR, February, 2026

Towards Pixel-Level VLM Perception via Simple Points Prediction.
CoRR, January, 2026

BabyVision: Visual Reasoning Beyond Language.
CoRR, January, 2026

Enhanced CT-CBCT image registration for orthopedic surgery: Integrating rigid-elastic motion models.
Virtual Real. Intell. Hardw., 2026

A Survey of Model Architectures in Information Retrieval.
Trans. Mach. Learn. Res., 2026

MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation.
CoRR, October, 2025

Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering.
CoRR, October, 2025

SIE3D: Single-image Expressive 3D Avatar generation via Semantic Embedding and Perceptual Expression Loss.
CoRR, September, 2025

Distillation versus Contrastive Learning: How to Train Your Rerankers.
CoRR, July, 2025

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning.
CoRR, May, 2025

Efficient Inference for Large Reasoning Models: A Survey.
CoRR, March, 2025

MoBA: Mixture of Block Attention for Long-Context LLMs.
CoRR, February, 2025

Distillation versus Contrastive Learning: How to Train Your Rerankers.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

CDEMO: A Neural Framework for Bidirectional Label Modality Translation in Emotion Recognition.
Proceedings of the 15th International Conference on Biomedical Engineering and Technology, 2025

TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

An Automatic Method to Estimate Correctness of RAG.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Optimizing Large-Scale Context Retrieval for End-to-End ASR.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

2023
MFSFNet: Multi-Scale Feature Subtraction Fusion Network for Remote Sensing Image Change Detection.
Remote. Sens., August, 2023

2019
PSynDB: Accurate and Accessible Private Data Generation.
Proc. VLDB Endow., 2019

Partial least squares regression analysis to factor of influence for ecological footprint.
Clust. Comput., 2019

2018
Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks.
Soft Comput., 2018

Sensitivity of data matrix rank in non-iterative training.
Neurocomputing, 2018

Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2013
A data preprocessing algorithm based on rough set for SVM classifier.
Proceedings of the 2013 IEEE International Conference on Control System, 2013

2008
A Sub-1ppm/°C high-order curvature-compensated bandgap reference.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008


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