Xiaoming Shi
25 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (13)
🏃
Academic Marathon
(5)
🧭
Keyword Pioneer
🧬
Topic Evolution
🗃️
Keyword Collector
(98)
💎
Century Club
(24)
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
Conferences
ACL (6)
AAAI (5)
ICLR (5)
NAACL (3)
NIPS (3)
ACML (1)
EMNLP (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(9)
mixed-type dialogue
(3)
event sequence
(3)
benchmark evaluation
(2)
dialogue generation
(2)
supervised fine-tuning
(2)
temporal point process
(2)
dialogue system
(2)
explanation generation
(2)
natural language processing
(1)
inductive reasoning
(1)
information retrieval
(1)
multimodal learning
(1)
multi-label classification
(1)
sentiment analysis
(1)
question answering
(1)
model security
(1)
video retrieval
(1)
task-oriented dialogue
(1)
cross-modal learning
(1)
Papers
A Survey of Inductive Reasoning for Large Language Models
ACL 2026
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
ACL 2025
Coherency Improved Explainable Recommendation via Large Language Model
AAAI 2025
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling
AAAI 2025
LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios
ACL 2025
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
ACL 2025
RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models
EMNLP 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
ICLR 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
ICLR 2025
Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring
NAACL 2025
KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus
NAACL 2025
Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models
ACML 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
ICLR 2024
Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges
ACL 2024
EasyTPP: Towards Open Benchmarking Temporal Point Processes
ICLR 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
ICLR 2024
Prompt-augmented Temporal Point Process for Streaming Event Sequence
NIPS 2023
Full Scaling Automation for Sustainable Development of Green Data Centers
IJCAI 2023
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
NIPS 2023
Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval
AAAI 2023
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
AAAI 2023
MidMed: Towards Mixed-Type Dialogues for Medical Consultation
ACL 2023
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
NIPS 2022
A Three-step Method for Multi-Hop Inference Explanation Regeneration
NAACL 2021
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses
AAAI 2020