影响力指数
91.47/100
前 0.5%
全站排名 #304
发表论文53
平均评分5.0
年均产出17.7 篇/年

Tom Goldstein

Full Professor@University of Maryland, College Park·美国·OpenReview
研究方向

Gaussian Splatting · Vision-language models · Large language models · visualization · Computer vision · adversarial machine learning

8.2
17

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

NeurIPS 2025Spotlight
通讯
7.3
24

LiveBench: A Challenging, Contamination-Limited LLM Benchmark

ICLR 2025Spotlight
7.3
17

Dense Backpropagation Improves Training for Sparse Mixture-of-Experts

NeurIPS 2025Poster
6.8
19

Quantifying Cross-Modality Memorization in Vision-Language Models

NeurIPS 2025Poster
三作
6.8
24

Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models

COLM 2025Poster
通讯
6.4
22

Gemstones: A Model Suite for Multi-Faceted Scaling Laws

NeurIPS 2025Poster
通讯
6.0
22

LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

COLM 2025Poster
通讯
6.0
28

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference

ICLR 2025Rejected
通讯
5.5
19

Dense Backpropagation Improves Routing for Sparsely-Gated Mixture-of-Experts

ICLR 2025Rejected
5.3
31

CinePile: A Long Video Question Answering Dataset and Benchmark

ICLR 2025Rejected
通讯
4.7
16

Running Huge Context Windows On Tiny GPUs

ICLR 2025Rejected
通讯
4.3
5

What do we learn from inverting CLIP models?

ICLR 2025Withdrawn
通讯
4.2
6

Gradient-based Optimization of Dataset Mixtures

ICLR 2025Withdrawn
通讯
4.2
6

OPTune: Efficient Online Preference Tuning

ICLR 2025Withdrawn
4.2
32

Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models

ICLR 2025Rejected
通讯
4.2
6

From Pixels to Prose: A Large Dataset of Dense Image Captions

ICLR 2025Withdrawn
通讯
3.8
11

GenQA: An Instruction Dataset of LLM Generated Questions and Answers

ICLR 2025Withdrawn
通讯
3.7
4

Data Brittleness Estimation with Self-Supervised Features

ICLR 2025Withdrawn
通讯
3.7
10

A Simple Baseline for Predicting Future Events with Auto-Regressive Tabular Transformers

ICLR 2025Rejected
3.5
16

LLMs Boost the Performance of Decision Trees on Tabular Data across Sample Sizes

ICLR 2025Rejected
-1

Extracting Parameter Counts from Fine-Tuning APIs

ICLR 2025Withdrawn
通讯