Qiaosheng Zhang
11 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Bronze π Keyword Champion (2) ποΈ Keyword Collector (56)
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(6)
Core Methods
(6)
Optimization & Theory
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Architectures
(2)
Learning Types
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Applications
(1)
Learning Paradigms
(1)
Methods
(1)
Processing
(1)
Keywords
large language model
(3)
model routing
(2)
repeated sampling
(2)
reinforcement learning
(2)
information bottleneck
(1)
function approximation
(1)
offline reinforcement learning
(1)
in-context learning
(1)
online learning
(1)
preference optimization
(1)
video understanding
(1)
query embedding
(1)
markov decision process
(1)
signal-to-noise ratio
(1)
ensemble method
(1)
direct preference optimization
(1)
upper confidence bound
(1)
lower bound
(1)
language model
(1)
skill discovery
(1)
Papers
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
AAAI 2026
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
AAAI 2026
ICL-Router: In-Context Learned Model Representations for LLM Routing
AAAI 2026
The Avengers: A Routing Recipe for Collective Intelligence in Language Models
AAAI 2026
VAST: Video Ability-Stratified Taxonomy for Data-Efficient Video Reasoning
CVPR 2026
When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF
AAAI 2026
Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
ICML 2025
Online Preference Alignment for Language Models via Count-based Exploration
ICLR 2025
ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck
ICML 2025
Constrained Ensemble Exploration for Unsupervised Skill Discovery
ICML 2024
On the Role of General Function Approximation in Offline Reinforcement Learning
ICLR 2024