Xiaoshuai Song
12 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) πΊοΈ Taxonomy Completionist (31) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6)
π
Renaissance Researcher
(5)
π₯
Mega-Team
(20)
β
The Questioner
π
Century Club
(11)
β‘
Prolific Year
(5)
Conferences
ACL (4)
EMNLP (3)
ICLR (2)
AAAI (1)
COLING (1)
ECCV (1)
Top co-authors
Keywords
out-of-domain detection
(3)
intent classification
(3)
intent discovery
(3)
large language model
(3)
zero-shot learning
(2)
instruction following
(2)
few-shot learning
(2)
dialogue system
(2)
prototype learning
(2)
benchmark evaluation
(1)
question answering
(1)
knowledge distillation
(1)
multimodal learning
(1)
visual reasoning
(1)
contrastive learning
(1)
mathematical reasoning
(1)
intent detection
(1)
continual learning
(1)
task-oriented dialogue
(1)
semi-supervised learning
(1)
Papers
ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants
ACL 2026
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
ACL 2025
ProgCo: Program Helps Self-Correction of Large Language Models
ACL 2025
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
AAAI 2025
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
ICLR 2025
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
ICLR 2025
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
COLING 2024
Faceptor: A Generalist Model for Face Perception
ECCV 2024
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
EMNLP 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
EMNLP 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
EMNLP 2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
ACL 2023