Xifeng Yan
38 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(81)
π€
Dynamic Duo
(11)
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Triple Crown
π§¬
Topic Evolution
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Grand Slam
ποΈ
Keyword Collector
(171)
π
Century Club
(37)
β‘
Prolific Year
(8)
π₯
Unstoppable
(10)
β
The Questioner
π
Trend Setter
Conferences
EMNLP (14)
ACL (8)
NAACL (4)
NIPS (4)
AAAI (2)
ICLR (2)
AACL (1)
EACL (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(7)
multimodal learning
(5)
few-shot learning
(4)
financial forecasting
(4)
time series forecasting
(4)
knowledge graph
(3)
time series
(3)
language model
(3)
word embedding
(3)
knowledge base
(3)
in-context learning
(3)
semantic parsing
(3)
text classification
(2)
knowledge graph reasoning
(2)
cross-modal alignment
(2)
continual learning
(2)
transfer learning
(2)
task-oriented dialogue
(2)
question answering
(2)
zero-shot learning
(2)
Papers
Can Editing LLMs Inject Harm?
AAAI 2026
Multimodal Language Models for Financial Forecasting from Interleaved Sequences of Text and Time Series
AACL 2025
DiffSkip: Differential Layer Skipping in Large Language Models
ACL 2025
Train a Unified Multimodal Data Quality Classifier with Synthetic Data
EMNLP 2025
Multimodal Language Models for Financial Forecasting from Interleaved Sequences of Text and Time Series
IJCNLP 2025
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
EMNLP 2024
Financial Forecasting from Textual and Tabular Time Series
EMNLP 2024
Creative and Context-Aware Translation of East Asian Idioms with GPT-4
EMNLP 2024
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling
ACL 2024
Learning to Compare Financial Reports for Financial Forecasting
EACL 2024
Limitations of Language Models in Arithmetic and Symbolic Induction
ACL 2023
Forecasting Earnings Surprises from Conference Call Transcripts
ACL 2023
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
NIPS 2023
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
ICML 2023
Visually-Augmented Language Modeling
ICLR 2023
Augmenting Language Models with Long-Term Memory
NIPS 2023
Guiding Large Language Models via Directional Stimulus Prompting
NIPS 2023
Graph Reasoning for Question Answering with Triplet Retrieval
ACL 2023
Language Model Detoxification in Dialogue with Contextualized Stance Control
EMNLP 2022
Controllable Dialogue Simulation with In-context Learning
EMNLP 2022
Inductive Relation Prediction by BERT
AAAI 2022
Lifelong Learning of Hate Speech Classification on Social Media
NAACL 2021
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
EMNLP 2021
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
ICLR 2021
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
EMNLP 2020
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
NIPS 2019
Global Textual Relation Embedding for Relational Understanding
ACL 2019
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
ACL 2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
NAACL 2019
What It Takes to Achieve 100% Condition Accuracy on WikiSQL
EMNLP 2018
Global Relation Embedding for Relation Extraction
NAACL 2018
Variational Knowledge Graph Reasoning
NAACL 2018
DialSQL: Dialogue Based Structured Query Generation
ACL 2018
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
EMNLP 2018
Cross-domain Semantic Parsing via Paraphrasing
EMNLP 2017
Recovering Question Answering Errors via Query Revision
EMNLP 2017
On Generating Characteristic-rich Question Sets for QA Evaluation
EMNLP 2016
Improving Semantic Parsing via Answer Type Inference
EMNLP 2016