Quanying Liu
10 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (24) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5)
🌉
Interdisciplinary Bridge
🏆
Grand Slam
💎
Century Club
(10)
❓
The Questioner
Conferences
AAAI (3)
ACL (2)
NIPS (2)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(3)
contrastive learning
(2)
bias mitigation
(2)
temporal modeling
(1)
in-context learning
(1)
information retrieval
(1)
language modeling
(1)
concept representation
(1)
feature attribution
(1)
brain-computer interface
(1)
bayesian framework
(1)
human cognition
(1)
visual reconstruction
(1)
diffusion model
(1)
hallucination mitigation
(1)
controllable generation
(1)
model explanation
(1)
retrieval-augmented generation
(1)
prompt tuning
(1)
conflict detection
(1)
Papers
When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents
AAAI 2026
The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
AAAI 2026
DCHO: A Decomposition–Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
AAAI 2026
Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning
ICLR 2025
Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability
ICML 2025
LLMs Trust Humans More, That’s a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
ACL 2025
The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing
ACL 2025
CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations
IJCAI 2024
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
NIPS 2024
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations
NIPS 2023