Jiahao Liu
33 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Cross-Pollinator
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Conference Polyglot
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Academic Marathon
(7)
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(20)
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Topic Evolution
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Century Club
(31)
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Prolific Year
(11)
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Keyword Collector
(153)
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The Questioner
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Unstoppable
(5)
Conferences
EMNLP (11)
ACL (8)
IJCAI (4)
AAAI (3)
NIPS (3)
EACL (1)
ICML (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
large language model
(7)
model compression
(6)
knowledge distillation
(4)
language model
(3)
contrastive learning
(3)
cross-lingual transfer
(3)
representation learning
(3)
graph neural network
(3)
speculative decoding
(2)
inference acceleration
(2)
prompt tuning
(2)
multimodal large language model
(2)
model quantization
(2)
language generation
(2)
reinforcement learning
(2)
named entity recognition
(2)
in-context learning
(2)
information extraction
(2)
attention mechanism
(2)
machine translation
(2)
Papers
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
ACL 2026
Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications
ACL 2026
Dynamic Fisher-weighted Model Merging via Bayesian Optimization
NAACL 2025
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
EMNLP 2025
Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU
IJCAI 2025
TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making
EMNLP 2025
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
AAAI 2025
IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method
EMNLP 2025
ReMamba: Equip Mamba with Effective Long-Sequence Modeling
EMNLP 2025
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
EMNLP 2024
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
EMNLP 2024
C-ICL: Contrastive In-context Learning for Information Extraction
EMNLP 2024
FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees
ICML 2024
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning
NIPS 2024
Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation
NIPS 2024
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation
AAAI 2024
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism
ACL 2024
Graph-Structured Speculative Decoding
ACL 2024
Minimal Distillation Schedule for Extreme Language Model Compression
EACL 2024
MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning
AAAI 2024
Improving Input-label Mapping with Demonstration Replay for In-context Learning
EMNLP 2023
Lifting the Curse of Capacity Gap in Distilling Language Models
ACL 2023
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank
ACL 2023
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
ACL 2023
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression
EMNLP 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
IJCAI 2023
VIRT: Improving Representation-based Text Matching via Virtual Interaction
EMNLP 2022
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval
EMNLP 2022
Parameter-free Dynamic Graph Embedding for Link Prediction
NIPS 2022
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
IJCNLP 2021
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
ACL 2021
A Practical Semi-Parametric Contextual Bandit
IJCAI 2019
Topic-to-Essay Generation with Neural Networks
IJCAI 2018