Songlin Hu
72 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (11)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
π§
Keyword Pioneer
π€
Dynamic Duo
(35)
π¬
Deep Specialist
(12)
π§¬
Topic Evolution
π
Keyword Champion
(2)
β‘
Prolific Year
(6)
β
The Questioner
ποΈ
Keyword Collector
(293)
π
Century Club
(66)
π
Conference Pioneer
π₯
Unstoppable
(7)
Conferences
ACL (18)
EMNLP (16)
AAAI (13)
COLING (11)
IJCNLP (4)
IJCAI (3)
NAACL (3)
AACL (1)
ICLR (1)
ICML (1)
SEMEVAL (1)
Top co-authors
Research topics
Keywords
large language model
(12)
contrastive learning
(9)
graph neural network
(6)
fake news detection
(5)
representation learning
(5)
social media
(4)
pre-trained language model
(4)
language model
(4)
emotion recognition
(4)
unsupervised learning
(4)
jailbreak attack
(4)
social media analysis
(3)
multi-task learning
(3)
sentence embedding
(3)
adversarial attack
(3)
adversarial training
(3)
domain adaptation
(3)
transfer learning
(3)
multimodal learning
(3)
information retrieval
(3)
Papers
FAIRGAMER: Evaluating Social Biases in LLM-Based Video Game NPCs
ACL 2026
More Thinking, Less Talking: Internalizing Deliberative Safety into LLM Parameters
ACL 2026
Resolving the Security-Auditability Dilemma with Auditable Latent Chain-of-Thought Alignment
ACL 2026
Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents
ACL 2026
Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
AAAI 2026
Multi-Task Representation Alignment on Language Understanding: A Mutual Information Perspective
ACL 2026
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
AAAI 2025
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval
AAAI 2025
LLM-Based Behavior Prediction for Social Media Users with Continuous Memory
AACL 2025
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
NAACL 2025
LLM-Based Behavior Prediction for Social Media Users with Continuous Memory
IJCNLP 2025
NExtLong: Toward Effective Long-Context Training without Long Documents
ICML 2025
Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
ICLR 2025
Structure-aware Propagation Generation with Large Language Models for Fake News Detection
EMNLP 2025
Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation
EMNLP 2025
Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots
EMNLP 2025
Capture the Key in Reasoning to Enhance CoT Distillation Generalization
ACL 2025
Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding
ACL 2025
Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection
ACL 2025
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
EMNLP 2025
Chain of Attack: Hide Your Intention through Multi-Turn Interrogation
ACL 2025
Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models
EMNLP 2025
LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing
EMNLP 2025
DORA: Dynamic Optimization Prompt for Continuous Reflection of LLM-based Agent
COLING 2025
BotSim: LLM-Powered Malicious Social Botnet Simulation
AAAI 2025
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
AAAI 2025
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction
EMNLP 2024
Structured Probabilistic Coding
AAAI 2024
Uncertainty-Guided Modal Rebalance for Hateful Memes Detection
ACL 2024
Representation Learning with Conditional Information Flow Maximization
ACL 2024
Few-Shot Learning for Cold-Start Recommendation
COLING 2024
Multi-stream Information Fusion Framework for Emotional Support Conversation
COLING 2024
Uncertainty-Aware Cross-Modal Alignment for Hate Speech Detection
COLING 2024
Improve Studentβs Reasoning Generalizability through Cascading Decomposed CoTs Distillation
EMNLP 2024
Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
NAACL 2024
MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models
NAACL 2024
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis
SEMEVAL 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
ACL 2023
ConTextual Masked Auto-Encoder for Dense Passage Retrieval
AAAI 2023
QAP: A Quantum-Inspired Adaptive-Priority-Learning Model for Multimodal Emotion Recognition
ACL 2023
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis
ACL 2023
Query-as-context Pre-training for Dense Passage Retrieval
EMNLP 2023
TrojanSQL: SQL Injection against Natural Language Interface to Database
EMNLP 2023
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability
EMNLP 2023
PUNR: Pre-training with User Behavior Modeling for News Recommendation
EMNLP 2023
A Unified Propagation Forest-based Framework for Fake News Detection
COLING 2022
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
EMNLP 2022
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval
EMNLP 2022
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
EMNLP 2022
Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection
COLING 2022
Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction
ACL 2022
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
ACL 2022
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation
IJCAI 2022
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
COLING 2022
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
COLING 2022
AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis
COLING 2022
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
IJCNLP 2021
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification
IJCNLP 2021
An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis
AAAI 2021
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification
ACL 2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
ACL 2021
Integrating External Event Knowledge for Script Learning
COLING 2020
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning
COLING 2020
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
AAAI 2020
Symmetric Metric Learning with Adaptive Margin for Recommendation
AAAI 2020
Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract)
AAAI 2020
Mask and Infill: Applying Masked Language Model for Sentiment Transfer
IJCAI 2019
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots
IJCNLP 2019
A Fuzzy Set Based Approach for Rating Bias
AAAI 2019
SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next
AAAI 2019
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots
EMNLP 2019
A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification
IJCAI 2019