Jerry Huang
14 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π₯ Mega-Team Β· Legion ποΈ Keyword Collector (63)
β
The Questioner
(3)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Core AI
(8)
Natural Language Processing
(7)
Optimization & Theory
(4)
Resources & Methods
(4)
Deep Learning
(3)
Application Areas
(3)
Learning Types
(3)
Applications
(2)
Core Methods
(2)
Learning Paradigms
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Generation
(1)
Keywords
large language model
(6)
recurrent neural network
(2)
language model
(2)
label smoothing
(2)
instruction tuning
(2)
benchmark evaluation
(2)
inductive bia
(2)
attention mechanism
(1)
adaptive sampling
(1)
curriculum learning
(1)
efficient computing
(1)
model architecture
(1)
transfer learning
(1)
experimental design
(1)
multimodal learning
(1)
contextual bandit
(1)
state space model
(1)
question answering
(1)
model selection
(1)
sequence modeling
(1)
Papers
Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking
ACL 2026
GUIDE: Towards Scalable Advising for Research Ideas
ACL 2026
Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning
EACL 2026
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
ACL 2026
Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning
EACL 2026
Calibrated Language Models and How to Find Them with Label Smoothing
ICML 2025
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
ACL 2025
How Well Can a Long Sequence Model Model Long Sequences? Comparing Architectural Inductive Biases on Long-Context Abilities
COLING 2025
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
NAACL 2025
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention
ICLR 2025
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
EMNLP 2024
Do Large Language Models Know How Much They Know?
EMNLP 2024
Online Algorithms with Uncertainty-Quantified Predictions
ICML 2024
EpiK-Eval: Evaluation for Language Models as Epistemic Models
EMNLP 2023