Liang Pang
48 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Conference Polyglot (10) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Hot Topic Early Bird
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Taxonomy Completionist
(93)
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Conference Polyglot
(10)
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Topic Evolution
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Dynamic Duo
(28)
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Keyword Champion
(3)
ποΈ
Keyword Collector
(211)
β
The Questioner
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Prolific Year
(7)
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Conference Pioneer
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Century Club
(44)
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Unstoppable
(7)
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Trend Setter
Conferences
EMNLP (12)
ACL (11)
AAAI (6)
COLING (6)
ICLR (5)
IJCAI (3)
CVPR (2)
ACML (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(11)
information retrieval
(5)
question answering
(5)
text generation
(5)
dialogue generation
(4)
retrieval-augmented generation
(4)
language model
(3)
text matching
(3)
representation learning
(3)
reinforcement learning
(3)
contrastive learning
(2)
domain adaptation
(2)
semantic matching
(2)
markov decision process
(2)
visual reasoning
(2)
prompt learning
(2)
natural language generation
(2)
unsupervised learning
(2)
optimal transport
(2)
knowledge distillation
(2)
Papers
Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
ACL 2026
RLKD: Distilling LLMsβ Reasoning via Reinforcement Learning
AAAI 2026
Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification
ACL 2026
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
ACL 2026
Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations
EMNLP 2025
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
EMNLP 2025
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
AAAI 2025
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
AAAI 2025
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
ACL 2025
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
ICLR 2025
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
ICLR 2025
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
COLING 2025
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation
COLING 2025
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
ICLR 2025
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
ICLR 2025
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
ICLR 2025
Qsnail: A Questionnaire Dataset for Sequential Question Generation
COLING 2024
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
EMNLP 2024
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
ACL 2024
Beyond Memorization: The Challenge of Random Memory Access in Language Models
ACL 2024
Plot Retrieval as an Assessment of Abstract Semantic Association
ACL 2024
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
ACL 2024
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
CVPR 2024
A Study of Implicit Ranking Unfairness in Large Language Models
EMNLP 2024
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
NAACL 2024
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space
EMNLP 2023
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation
AAAI 2023
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval
ACL 2023
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation
ACL 2023
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation
EMNLP 2023
LLMDet: A Third Party Large Language Models Generated Text Detection Tool
EMNLP 2023
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
EMNLP 2023
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching
COLING 2022
Adaptive Information Seeking for Open-Domain Question Answering
EMNLP 2021
Transductive Learning for Unsupervised Text Style Transfer
EMNLP 2021
Sketch and Customize: A Counterfactual Story Generator
AAAI 2021
Transformation Driven Visual Reasoning
CVPR 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods
NIPS 2021
Beyond Language: Learning Commonsense from Images for Reasoning
EMNLP 2020
PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation
COLING 2020
METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis
COLING 2020
Evaluating Natural Language Generation via Unbalanced Optimal Transport
IJCAI 2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
EMNLP 2020
Modeling Topical Relevance for Multi-Turn Dialogue Generation
IJCAI 2020
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
AAAI 2019
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
ACL 2019
Locally Smoothed Neural Networks
ACML 2017
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
IJCAI 2016