Shiyang Li
21 papers · 2018–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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(6)
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Research topics
Artificial Intelligence
(17)
Machine Learning
(14)
Core AI
(13)
Natural Language Processing
(11)
Learning Types
(9)
Application Areas
(6)
Resources & Methods
(6)
Deep Learning
(5)
Applications
(4)
Core Methods
(4)
Learning Paradigms
(4)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Architectures
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Clinical
(2)
Keywords
large language model
(6)
few-shot learning
(3)
instruction tuning
(2)
symbolic reasoning
(2)
in-context learning
(2)
instruction following
(2)
language model
(2)
natural language understanding
(2)
irregular time series
(2)
multimodal learning
(2)
data poisoning
(1)
fact verification
(1)
knowledge distillation
(1)
data augmentation
(1)
attention mechanism
(1)
non-convex optimization
(1)
semi-supervised learning
(1)
document-level translation
(1)
curriculum learning
(1)
dialogue generation
(1)
Papers
Can Language Models Follow Multiple Turns of Entangled Instructions?
EMNLP 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
NAACL 2025
Train a Unified Multimodal Data Quality Classifier with Synthetic Data
EMNLP 2025
AlpaGasus: Training a Better Alpaca with Fewer Data
ICLR 2024
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
NAACL 2024
Data Diversity Matters for Robust Instruction Tuning
EMNLP 2024
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
ICLR 2024
Instruction-following Evaluation through Verbalizer Manipulation
NAACL 2024
MEMORYLLM: Towards Self-Updatable Large Language Models
ICML 2024
Graph Reasoning for Question Answering with Triplet Retrieval
ACL 2023
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
ICML 2023
Limitations of Language Models in Arithmetic and Symbolic Induction
ACL 2023
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
NeurIPS 2023
Controllable Dialogue Simulation with In-context Learning
EMNLP 2022
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
EMNLP 2022
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
ICLR 2021
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
EMNLP 2021
TabFact: A Large-scale Dataset for Table-based Fact Verification
ICLR 2020
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
NeurIPS 2019
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
NeurIPS 2018