← Authors

Yaliang Li

63 papers · 2011–2026 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (14) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) πŸ† Grand Slam 🀝 Dynamic Duo (24) πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (222) ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (62) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

ACL (10) EMNLP (8) ICLR (8) NIPS (7) AAAI (6) ICML (6) IJCAI (6) COLING (4) IJCNLP (4) NAACL (2) CVPR (1) EACL (1)

Top co-authors

Bolin Ding (25) Ying Shen (13) Daoyuan Chen (12) Yuexiang Xie (9) Ji-Rong Wen (8) Jingren Zhou (7) Wayne Xin Zhao (7) Nan Du (7) Wei Fan (7) Liuyi Yao (6)

Keywords

large language model (7) graph neural network (6) knowledge distillation (6) federated learning (5) causal inference (4) multi-agent system (4) representation learning (4) model compression (4) domain adaptation (4) neural network (3) adversarial learning (3) text summarization (3) answer selection (3) language model compression (3) language model (3) knowledge graph (3) node classification (3) transfer learning (3) chain-of-thought reasoning (2) multimodal learning (2)

Papers

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation EACL 2026
Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective EMNLP 2025
ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models EMNLP 2025
Agent-Oriented Planning in Multi-Agent Systems ICLR 2025
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning IJCAI 2025
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development ICML 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025
GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025
Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment ACL 2025
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025
Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists ACL 2025
Safety Layers in Aligned Large Language Models: The Key to LLM Security ICLR 2025
Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models ICLR 2025
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models CVPR 2025
Knowledge Graph-Guided Retrieval Augmented Generation NAACL 2025
Improving LoRA in Privacy-preserving Federated Learning ICLR 2024
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism ICML 2024
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NIPS 2024
DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning ACL 2024
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization COLING 2024
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series ICLR 2024
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes ICML 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NIPS 2024
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023
Learned Index with Dynamic $\epsilon$ ICLR 2023
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph EMNLP 2023
Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation ICML 2023
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NIPS 2022
iFlood: A Stable and Effective Regularizer ICLR 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NIPS 2022
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation AAAI 2021
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021
Differential Privacy for Text Analytics via Natural Text Sanitization ACL 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression EMNLP 2021
Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness EMNLP 2021
Wasserstein Selective Transfer Learning for Cross-domain Text Mining EMNLP 2021
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains IJCNLP 2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System IJCNLP 2021
Differential Privacy for Text Analytics via Natural Text Sanitization IJCNLP 2021
Learning to Mutate with Hypergradient Guided Population NIPS 2020
Simple and Deep Graph Convolutional Networks ICML 2020
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents ACL 2020
Automated Relational Meta-learning ICLR 2020
Entity Synonym Discovery via Multipiece Bilateral Context Matching IJCAI 2020
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering AAAI 2020
Scalable Graph Neural Networks via Bidirectional Propagation NIPS 2020
Attentive User-Engaged Adversarial Neural Network for Community Question Answering AAAI 2020
On the Generation of Medical Question-Answer Pairs AAAI 2020
Joint Slot Filling and Intent Detection via Capsule Neural Networks ACL 2019
Multi-grained Named Entity Recognition ACL 2019
On the Estimation of Treatment Effect with Text Covariates IJCAI 2019
Data Poisoning Attack against Knowledge Graph Embedding IJCAI 2019
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering AAAI 2019
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge COLING 2018
Representation Learning for Treatment Effect Estimation from Observational Data NIPS 2018
Cooperative Denoising for Distantly Supervised Relation Extraction COLING 2018
A Correlated Topic Model Using Word Embeddings IJCAI 2017
Extracting Relation Descriptors with Conditional Random Fields IJCNLP 2011