Eric Wong
- Papers
- 18
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Authored papers
18NSF-SciFy: Mining the NSF Awards Database for Scientific Claims
arXiv 2026
Instruction Following by Boosting Attention of Large Language Models
arXiv 2025
Once Upon an Input: Reasoning via Per-Instance Program Synthesis
arXiv 2025
Adaptively profiling models with task elicitation
arXiv 2025
The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models
arXiv 2025
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
arXiv 2024
Towards Compositionality in Concept Learning
arXiv 2024
The FIX Benchmark: Extracting Features Interpretable to eXperts
arXiv 2024
Jailbreaking Black Box Large Language Models in Twenty Queries
arXiv 2023
Faithful Chain-of-Thought Reasoning
arXiv 2023
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
arXiv 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
arXiv 2023
Sum-of-Parts: Faithful Attributions for Groups of Features
arXiv 2023
Black Box Adversarial Prompting for Foundation Models
arXiv 2023
In-context Example Selection with Influences
arXiv 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
arXiv 2023
A Data-Based Perspective on Transfer Learning
CVPR 2023 1
Certified Patch Robustness via Smoothed Vision Transformers
certified-patch-robustness-via-smoothed
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