Hunter Lang
18 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
(12)
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(85)
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Research topics
Machine Learning
(14)
Artificial Intelligence
(8)
Deep Learning
(7)
Learning Types
(7)
Optimization & Theory
(7)
Mathematics & Optimization
(5)
Core AI
(5)
Optimization
(5)
Core Methods
(4)
Natural Language Processing
(3)
Models
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Analysis
(2)
Bayesian & Probabilistic
(2)
Keywords
large language model
(5)
map inference
(4)
few-shot learning
(3)
zero-shot learning
(3)
representation learning
(2)
stochastic gradient descent
(2)
self-supervised learning
(2)
learning rate
(2)
lp relaxation
(2)
approximate inference
(2)
weak supervision
(2)
probabilistic logic
(1)
structured prediction
(1)
computer vision
(1)
reinforcement learning
(1)
instruction following
(1)
contrastive learning
(1)
prompt-based learning
(1)
convergence analysis
(1)
semi-supervised learning
(1)
Papers
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
ACL 2026
When One LLM Drools, Multi-LLM Collaboration Rules
ACL 2026
On the Duality between Gradient Transformations and Adapters
ICML 2025
Learning to Decode Collaboratively with Multiple Language Models
ACL 2024
Theoretical Analysis of Weak-to-Strong Generalization
NeurIPS 2024
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
AISTATS 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
AISTATS 2023
Co-training Improves Prompt-based Learning for Large Language Models
ICML 2022
Large language models are few-shot clinical information extractors
EMNLP 2022
Leveraging Time Irreversibility with Order-Contrastive Pre-training
AISTATS 2022
Training Subset Selection for Weak Supervision
NeurIPS 2022
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances
AISTATS 2021
Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)
ICML 2021
Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic
AAAI 2021
Block Stability for MAP Inference
AISTATS 2019
Understanding the Role of Momentum in Stochastic Gradient Methods
NeurIPS 2019
Using Statistics to Automate Stochastic Optimization
NeurIPS 2019
Optimality of Approximate Inference Algorithms on Stable Instances
AISTATS 2018