Tingwen Liu
48 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Conference Polyglot (11) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Academic Marathon (7)
π
Cross-Pollinator
(13)
π
Conference Polyglot
(11)
π
Academic Marathon
(7)
π€
Dynamic Duo
(24)
π
Keyword Champion
(3)
π
Century Club
(41)
β‘
Prolific Year
(9)
π
Trend Setter
ποΈ
Keyword Collector
(192)
π₯
Unstoppable
(8)
Conferences
ACL (17)
EMNLP (10)
COLING (6)
AAAI (4)
IJCNLP (4)
ICML (2)
ACML (1)
CVPR (1)
IJCAI (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(6)
attention mechanism
(6)
graph neural network
(6)
named entity recognition
(5)
knowledge distillation
(5)
model compression
(4)
maximal clique
(3)
relation extraction
(3)
neural relation extraction
(2)
few-shot learning
(2)
conditional random field
(2)
heterogeneous graph
(2)
knowledge graph completion
(2)
distant supervision
(2)
entity embedding
(2)
open information extraction
(2)
retrieval-augmented generation
(2)
information extraction
(2)
representation learning
(2)
optimal transport
(2)
Papers
AttnPO: Attention-Guided Process Supervision for Efficient Reasoning
ACL 2026
HyperMem: Hypergraph Memory for Long-Term Conversations
ACL 2026
Polymorphic Universal Transformer
ACL 2026
Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game
ACL 2026
Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation
AAAI 2026
Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion
AAAI 2026
Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics
ACL 2026
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking
ACL 2025
Mixture of Hidden-Dimensions: Not All Hidden-Statesβ Dimensions are Needed in Transformer
ICML 2025
Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing
EMNLP 2025
Beyond Surface Alignment: Rebuilding LLMs Safety Mechanism via Probabilistically Ablating Refusal Direction
EMNLP 2025
Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information
EMNLP 2025
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
CVPR 2025
Relation Logical Reasoning and Relation-aware Entity Encoding for Temporal Knowledge Graph Reasoning
COLING 2025
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
ICML 2025
Towards SΒ²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation
AAAI 2025
SOTOPIA-Ξ©: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents
ACL 2025
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
NIPS 2024
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time
ACL 2024
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion
ACL 2024
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking
ACL 2024
Universal Information Extraction with Meta-Pretrained Self-Retrieval
ACL 2023
Event Causality Extraction with Event Argument Correlations
COLING 2022
Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence
EMNLP 2022
Towards Generalized Open Information Extraction
EMNLP 2022
Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph
ACL 2022
Maximal Clique Based Non-Autoregressive Open Information Extraction
EMNLP 2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
EMNLP 2021
Discontinuous Named Entity Recognition as Maximal Clique Discovery
ACL 2021
Discontinuous Named Entity Recognition as Maximal Clique Discovery
IJCNLP 2021
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
IJCNLP 2021
From What to Why: Improving Relation Extraction with Rationale Graph
IJCNLP 2021
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
IJCNLP 2021
FITAnnotator: A Flexible and Intelligent Text Annotation System
NAACL 2021
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
ACL 2021
From What to Why: Improving Relation Extraction with Rationale Graph
ACL 2021
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
ACL 2021
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
EMNLP 2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
EMNLP 2020
Coarse-to-Fine Pre-training for Named Entity Recognition
EMNLP 2020
Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention
ACL 2020
Porous Lattice Transformer Encoder for Chinese NER
COLING 2020
Document-level Relation Extraction with Dual-tier Heterogeneous Graph
COLING 2020
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
COLING 2020
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction
COLING 2020
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction
AAAI 2020
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction
IJCAI 2019
Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction
ACML 2018