Xiangyu Liu
23 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(9)
🧬
Topic Evolution
🏆
Grand Slam
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(120)
⚡
Prolific Year
(6)
💎
Century Club
(21)
🔥
Unstoppable
(5)
❓
The Questioner
(2)
Conferences
AAAI (5)
ICLR (5)
EMNLP (4)
ACL (3)
NIPS (2)
CVPR (1)
ICML (1)
INTERSPEECH (1)
NAACL (1)
Top co-authors
Keywords
multi-agent system
(3)
multi-agent reinforcement learning
(2)
counterfactual learning
(2)
large language model
(2)
retrieval-augmented generation
(2)
sample efficiency
(2)
model security
(1)
adversarial learning
(1)
3d reconstruction
(1)
feature extraction
(1)
sequence labeling
(1)
sentiment analysis
(1)
text classification
(1)
curriculum learning
(1)
natural language inference
(1)
game theory
(1)
knowledge editing
(1)
knowledge distillation
(1)
domain adaptation
(1)
direct preference optimization
(1)
Papers
ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
AAAI 2026
Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models
AAAI 2026
Is Poisoning a Real Threat to DPO? Maybe More So Than You Think
AAAI 2025
Do LLM Agents Have Regret? A Case Study in Online Learning and Games
ICLR 2025
Controllable Protein Sequence Generation with LLM Preference Optimization
AAAI 2025
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
ACL 2025
Lunar Twins: We Choose to Go to the Moon with Large Language Models
ACL 2025
MVBoost: Boost 3D Reconstruction with Multi-View Refinement
CVPR 2025
Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition
EMNLP 2025
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
ICLR 2024
Provable Partially Observable Reinforcement Learning with Privileged Information
NIPS 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
ICLR 2024
Knowledge Graph Error Detection with Contrastive Confidence Adaption
AAAI 2024
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
ICLR 2024
Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation
ACL 2024
Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing
ICML 2023
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
ICLR 2023
Revisit Systematic Generalization via Meaningful Learning
EMNLP 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese
EMNLP 2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces
NAACL 2022
Counterfactual Adversarial Learning with Representation Interpolation
EMNLP 2021
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
NIPS 2021
Incorporating External POS Tagger for Punctuation Restoration
INTERSPEECH 2021