Lin Gui
65 papers · 2012–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (13)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
🤝
Dynamic Duo
(43)
👑
Triple Crown
🏆
Grand Slam
🔬
Deep Specialist
(11)
🧬
Topic Evolution
🏆
Keyword Champion
❓
The Questioner
🗃️
Keyword Collector
(264)
🔥
Unstoppable
(7)
💎
Century Club
(62)
⚡
Prolific Year
(13)
Conferences
ACL (17)
EMNLP (17)
EACL (5)
AAAI (4)
IJCNLP (4)
ICLR (3)
NIPS (3)
COLING (2)
ICML (2)
IJCAI (2)
NAACL (2)
UAI (2)
CONLL (1)
ICCV (1)
Top co-authors
Research topics
Keywords
large language model
(16)
question answering
(6)
narrative understanding
(5)
reinforcement learning
(5)
in-context learning
(5)
sentiment analysis
(5)
graph neural network
(4)
contrastive learning
(4)
variational autoencoder
(4)
neural network
(4)
representation learning
(4)
stance detection
(4)
commonsense knowledge
(4)
emotion cause extraction
(3)
neural topic model
(3)
dialogue system
(3)
retrieval-augmented generation
(3)
knowledge graph
(3)
language model
(3)
graph convolutional network
(3)
Papers
MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents
AAAI 2026
SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding
ACL 2026
Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score
AAAI 2026
PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA
ACL 2025
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following
ACL 2025
Centrality-guided Pre-training for Graph
ICLR 2025
GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery
EMNLP 2025
Linguistic Neuron Overlap Patterns to Facilitate Cross-lingual Transfer on Low-resource Languages
EMNLP 2025
Sparse Activation Editing for Reliable Instruction Following in Narratives
EMNLP 2025
Correcting Large Language Model Behavior via Influence Function
AAAI 2025
Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework
EMNLP 2025
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
NAACL 2025
Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time
EMNLP 2025
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
ICML 2025
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering
ACL 2025
COPR: Continual Human Preference Learning via Optimal Policy Regularization
ACL 2025
NarrativePlay: Interactive Narrative Understanding
EACL 2024
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems
EMNLP 2024
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
EMNLP 2024
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective
EMNLP 2024
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
ICML 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
NIPS 2024
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
ACL 2024
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
ACL 2024
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
ACL 2024
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond
ACL 2024
Multi-modal Stance Detection: New Datasets and Model
ACL 2024
CPPO: Continual Learning for Reinforcement Learning with Human Feedback
ICLR 2024
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing
AAAI 2024
Concept Algebra for (Score-Based) Text-Controlled Generative Models
NIPS 2023
Counterfactual Generation with Identifiability Guarantees
NIPS 2023
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization
ACL 2023
PANACEA: An Automated Misinformation Detection System on COVID-19
EACL 2023
Distinguishability Calibration to In-Context Learning
EACL 2023
A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports
EMNLP 2023
Distilling ChatGPT for Explainable Automated Student Answer Assessment
EMNLP 2023
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding
EMNLP 2023
Causal Estimation for Text Data with (Apparent) Overlap Violations
ICLR 2023
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
UAI 2023
Addressing token uniformity in transformers via singular value transformation
UAI 2022
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation
EMNLP 2022
JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection
ACL 2022
Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network
ACL 2022
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
EACL 2021
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies
EACL 2021
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
NAACL 2021
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
ACL 2021
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
IJCNLP 2021
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
IJCNLP 2021
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
ACL 2021
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
EMNLP 2021
Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction
ACL 2020
Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis
COLING 2020
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering
COLING 2020
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
EMNLP 2019
Neural Topic Model with Reinforcement Learning
EMNLP 2019
Neural Topic Model with Reinforcement Learning
IJCNLP 2019
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
IJCNLP 2019
A Question Answering Approach for Emotion Cause Extraction
EMNLP 2017
Stance Classification with Target-specific Neural Attention
IJCAI 2017
Intersubjectivity and Sentiment: From Language to Knowledge
IJCAI 2016
Event-Driven Emotion Cause Extraction with Corpus Construction
EMNLP 2016
Panoptic Studio: A Massively Multiview System for Social Motion Capture
ICCV 2015
Cross-lingual Opinion Analysis via Negative Transfer Detection
ACL 2014
Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution
CONLL 2012