Austin Xu
10 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (5) π Renaissance Researcher (8) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(24)
π§
Keyword Pioneer
β
The Questioner
Conferences
ACL (3)
EMNLP (2)
NIPS (2)
CVPR (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
metric learning
(3)
large language model
(3)
reinforcement learning
(2)
mahalanobis distance
(2)
group relative policy optimization
(2)
direct preference optimization
(1)
preference learning
(1)
semantic segmentation
(1)
language model evaluation
(1)
retrieval-augmented generation
(1)
depth estimation
(1)
language modeling
(1)
low-rank matrix
(1)
human feedback
(1)
supervised fine-tuning
(1)
model evaluation
(1)
generative adversarial network
(1)
recommendation system
(1)
pairwise comparison
(1)
data augmentation
(1)
Papers
J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
ACL 2026
Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math
ACL 2026
Direct Judgement Preference Optimization
EMNLP 2025
Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
EMNLP 2025
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
ACL 2025
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
ICML 2025
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
NIPS 2023
Active metric learning and classification using similarity queries
UAI 2023
HandsOff: Labeled Dataset Generation With No Additional Human Annotations
CVPR 2023
Simultaneous Preference and Metric Learning from Paired Comparisons
NIPS 2020