Hanlin Zhang
15 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(8)
👥
Mega-Team
(60)
⚡
Prolific Year
(6)
❓
The Questioner
(2)
💎
Century Club
(15)
Conferences
ICLR (4)
NIPS (3)
ICML (2)
NAACL (2)
ACL (1)
CVPR (1)
EMNLP (1)
UAI (1)
Top co-authors
Keywords
language model
(3)
domain adaptation
(2)
in-context learning
(2)
symbolic reasoning
(2)
domain generalization
(2)
logical reasoning
(1)
neural network optimization
(1)
variational inference
(1)
natural language understanding
(1)
first-order logic
(1)
explanation generation
(1)
out-of-distribution generalization
(1)
constrained optimization
(1)
knowledge base
(1)
differentiable programming
(1)
distribution shift
(1)
reinforcement learning from human feedback
(1)
mirror descent
(1)
language modeling
(1)
uncertainty quantification
(1)
Papers
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
ICLR 2025
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
ICLR 2025
How Does Critical Batch Size Scale in Pre-training?
ICLR 2025
Eliminating Position Bias of Language Models: A Mechanistic Approach
ICLR 2025
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning
EMNLP 2024
Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models
ICML 2024
Evaluating Step-by-Step Reasoning through Symbolic Verification
NAACL 2024
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
NIPS 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
A Study on the Calibration of In-context Learning
NAACL 2024
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
ICML 2023
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming
ACL 2023
Toward learning human-aligned cross-domain robust models by countering misaligned features
UAI 2022
Towards Principled Disentanglement for Domain Generalization
CVPR 2022
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables
NIPS 2020