Ee-Peng Lim
24 papers · 2011–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (14) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(54)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Century Club
(23)
ποΈ
Keyword Collector
(118)
β‘
Prolific Year
(6)
π₯
Unstoppable
(7)
π
Trend Setter
Conferences
ACL (8)
EMNLP (6)
AAAI (3)
CVPR (2)
EACL (1)
IJCAI (1)
JMLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(8)
dialogue system
(3)
conversational agent
(3)
math word problem
(3)
solution expression
(2)
semantic segmentation
(2)
in-context learning
(2)
multimodal learning
(2)
prompt engineering
(2)
food computing
(2)
vision-language model
(2)
motivational interviewing
(2)
few-shot learning
(2)
graph neural network
(2)
knowledge distillation
(1)
attention mechanism
(1)
visual question answering
(1)
graph anomaly detection
(1)
semi-supervised learning
(1)
zero-shot learning
(1)
Papers
Towards Provably Unlearnable Examples via Bayes Error Optimization
AAAI 2026
Consistent Client Simulation for Motivational Interviewing-based Counseling
ACL 2025
Seeing Culture: A Benchmark for Visual Reasoning and Grounding
EMNLP 2025
CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration
ACL 2025
OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation
CVPR 2024
Speaker Verification in Agent-generated Conversations
ACL 2024
Generative Semi-supervised Graph Anomaly Detection
NIPS 2024
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
EMNLP 2024
Thoughts to Target: Enhance Planning for Target-driven Conversation
EMNLP 2024
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation
NAACL 2024
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
ACL 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
EMNLP 2023
LLM4Vis: Explainable Visualization Recommendation using ChatGPT
EMNLP 2023
Guided Attention Multimodal Multitask Financial Forecasting with Inter-Company Relationships and Global and Local News
ACL 2022
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers
AAAI 2022
Enconter: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer
EACL 2021
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
EMNLP 2021
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
IJCAI 2020
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
AAAI 2020
Graph-to-Tree Learning for Solving Math Word Problems
ACL 2020
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images
CVPR 2019
Detecting Click Fraud in Online Advertising: A Data Mining Approach
JMLR 2014
Finding Bursty Topics from Microblogs
ACL 2012
Topical Keyphrase Extraction from Twitter
ACL 2011