Hunter Lang

38 papers A* 9A 6Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following.
CoRR
Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui
2025 A* conf
On the Duality between Gradient Transformations and Adapters.
ICML
Lucas Torroba Hennigen, Hunter Lang, Han Guo, Yoon Kim
2025 J jnl
On the Duality between Gradient Transformations and Adapters.
CoRR
Lucas Torroba Hennigen, Hunter Lang, Han Guo, Yoon Kim
2025 J jnl
PrefPalette: Personalized Preference Modeling with Latent Attributes.
CoRR
Shuyue Stella Li, Melanie Sclar, Hunter Lang, Ansong Ni, Jacqueline He, Puxin Xu, Andrew Cohen, Chan Young Park, Yulia Tsvetkov, Asli Celikyilmaz
2025 J jnl
When One LLM Drools, Multi-LLM Collaboration Rules.
CoRR
Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov
2024 — conf
Learning to Decode Collaboratively with Multiple Language Models.
ACL (1)
Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag
2024 J jnl
Learning to Decode Collaboratively with Multiple Language Models.
CoRR
Shannon Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag
2024 A* conf
Theoretical Analysis of Weak-to-Strong Generalization.
NeurIPS
Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan
2024 J jnl
Theoretical Analysis of Weak-to-Strong Generalization.
CoRR
Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan
2023 A conf
TabLLM: Few-shot Classification of Tabular Data with Large Language Models.
AISTATS
Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David A. Sontag
2023 A conf
Who Should Predict? Exact Algorithms For Learning to Defer to Humans.
AISTATS
Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
2023 J jnl
Who Should Predict? Exact Algorithms For Learning to Defer to Humans.
CoRR
Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
2022 A* conf
Co-training Improves Prompt-based Learning for Large Language Models.
ICML
Hunter Lang, Monica N. Agrawal, Yoon Kim, David A. Sontag
2022 J jnl
Co-training Improves Prompt-based Learning for Large Language Models.
CoRR
Hunter Lang, Monica Agrawal, Yoon Kim, David A. Sontag
2022 J jnl
Large Language Models are Zero-Shot Clinical Information Extractors.
CoRR
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag
2022 A* conf
Large language models are few-shot clinical information extractors.
EMNLP
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag
2022 A conf
Leveraging Time Irreversibility with Order-Contrastive Pre-training.
AISTATS
Monica N. Agrawal, Hunter Lang, Michael Offin, Lior Gazit, David A. Sontag
2022 J jnl
TabLLM: Few-shot Classification of Tabular Data with Large Language Models.
CoRR
Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David A. Sontag
2022 A* conf
Training Subset Selection for Weak Supervision.
NeurIPS
Hunter Lang, Aravindan Vijayaraghavan, David A. Sontag
2022 J jnl
Training Subset Selection for Weak Supervision.
CoRR
Hunter Lang, Aravindan Vijayaraghavan, David A. Sontag
2021 A conf
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances.
AISTATS
Hunter Lang, Aravind Reddy, David A. Sontag, Aravindan Vijayaraghavan
2021 J jnl
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances.
CoRR
Hunter Lang, Aravind Reddy, David A. Sontag, Aravindan Vijayaraghavan
2021 J jnl
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning.
CoRR
Hoifung Poon, Hai Wang, Hunter Lang
2021 — ch.
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning.
Neuro-Symbolic Artificial Intelligence
Hoifung Poon, Hai Wang, Hunter Lang
2021 A* conf
Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch).
ICML
Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan
2021 J jnl
Leveraging Time Irreversibility with Order-Contrastive Pre-training.
CoRR
Monica Agrawal, Hunter Lang, Michael Offin, Lior Gazit, David A. Sontag
2021 A* conf
Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic.
AAAI
Hunter Lang, Hoifung Poon
2020 J jnl
Graph cuts always find a global optimum (with a catch).
CoRR
Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan
2020 J jnl
Self-supervised self-supervision by combining deep learning and probabilistic logic.
CoRR
Hunter Lang, Hoifung Poon
2020 J jnl
Statistical Adaptive Stochastic Gradient Methods.
CoRR
Pengchuan Zhang, Hunter Lang, Qiang Liu, Lin Xiao
2019 A conf
Block Stability for MAP Inference.
AISTATS
Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan
2019 A* conf
Understanding the Role of Momentum in Stochastic Gradient Methods.
NeurIPS
Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao
2019 J jnl
Understanding the Role of Momentum in Stochastic Gradient Methods.
CoRR
Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao
2019 A* conf
Using Statistics to Automate Stochastic Optimization.
NeurIPS
Hunter Lang, Lin Xiao, Pengchuan Zhang
2019 J jnl
Using Statistics to Automate Stochastic Optimization.
CoRR
Hunter Lang, Pengchuan Zhang, Lin Xiao
2018 J jnl
Block Stability for MAP Inference.
CoRR
Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan
2018 A conf
Optimality of Approximate Inference Algorithms on Stable Instances.
AISTATS
Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan
2017 J jnl
Alpha-expansion is Exact on Stable Instances.
CoRR
Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan