Jerry Huang

Orcid: 0000-0002-1627-3316

According to our database1, Jerry Huang authored at least 29 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threats.
CoRR, August, 2025

Parity Requires Unified Input Dependence and Negative Eigenvalues in SSMs.
CoRR, August, 2025

Calibrated Language Models and How to Find Them with Label Smoothing.
CoRR, August, 2025

PoTPTQ: A Two-step Power-of-Two Post-training for LLMs.
CoRR, July, 2025

GUIDE: Towards Scalable Advising for Research Ideas.
CoRR, July, 2025

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation.
CoRR, June, 2025

A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control.
CoRR, May, 2025

The effects of generative AI usage in EFL classrooms on the l2 motivational self system.
Educ. Inf. Technol., April, 2025

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering.
CoRR, April, 2025

Resona: Improving Context Copying in Linear Recurrence Models with Retrieval.
CoRR, March, 2025

RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning.
CoRR, March, 2025

Do Large Language Models Know How Much They Know?
CoRR, February, 2025


ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

How Well Can a Long Sequence Model Model Long Sequences? Comparing Architectural Inductive Biases on Long-Context Abilities.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Promoting Exploration in Memory-Augmented Adam using Critical Momenta.
Trans. Mach. Learn. Res., 2024

Predicting adaptively chosen observables in quantum systems.
CoRR, 2024

How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities.
CoRR, 2024

Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective.
CoRR, 2024

Towards Practical Tool Usage for Continually Learning LLMs.
CoRR, 2024

Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization.
Comput. Educ. Artif. Intell., 2024

Online Algorithms with Uncertainty-Quantified Predictions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Do Large Language Models Know How Much They Know?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Online Algorithms with Uncertainty-Quantified Predictions.
CoRR, 2023

EpiK-Eval: Evaluation for Language Models as Epistemic Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021
Trust-ya: design of a multiplayer game for the study of small group processes.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020
A method for eternally dominating strong grids.
Discret. Math. Theor. Comput. Sci., 2020


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