Jiaming Shen
29 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Cross-Pollinator
(12)
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Conference Polyglot
(7)
🏃
Academic Marathon
(8)
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Dynamic Duo
(14)
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Unstoppable
(9)
💎
Century Club
(29)
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Conference Pioneer
⚡
Prolific Year
(5)
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Keyword Collector
(130)
Conferences
ACL (13)
EMNLP (5)
AAAI (4)
NAACL (3)
ICLR (2)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
large language model
(7)
text classification
(3)
in-context learning
(3)
representation learning
(2)
entity set expansion
(2)
text generation
(2)
semantic class
(2)
unsupervised learning
(2)
training data generation
(2)
neural network
(2)
hierarchical text classification
(2)
semantic classification
(2)
multi-task learning
(2)
hierarchical structure
(2)
preference learning
(1)
text mining
(1)
uncertainty quantification
(1)
zero-shot learning
(1)
sequence labeling
(1)
relation extraction
(1)
Papers
Building Math Agents with Multi-Turn Iterative Preference Learning
ICLR 2025
LiPO: Listwise Preference Optimization through Learning-to-Rank
NAACL 2025
RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning
AAAI 2025
Predicting Text Preference Via Structured Comparative Reasoning
ACL 2024
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
ACL 2024
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
NAACL 2024
Multilingual Fine-Grained News Headline Hallucination Detection
EMNLP 2024
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
ACL 2024
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
ACL 2023
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach
ACL 2023
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
ACL 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
NIPS 2023
Phrase-aware Unsupervised Constituency Parsing
ACL 2022
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation
EMNLP 2022
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
ACL 2022
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names
NAACL 2021
Training ELECTRA Augmented with Multi-word Selection
ACL 2021
Corpus-based Open-Domain Event Type Induction
EMNLP 2021
Taxonomy Completion via Triplet Matching Network
AAAI 2021
Training ELECTRA Augmented with Multi-word Selection
IJCNLP 2021
Empower Entity Set Expansion via Language Model Probing
ACL 2020
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
EMNLP 2020
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding
EMNLP 2020
Weakly-Supervised Hierarchical Text Classification
AAAI 2019
Mining Entity Synonyms with Efficient Neural Set Generation
AAAI 2019
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis
ACL 2019
End-to-End Reinforcement Learning for Automatic Taxonomy Induction
ACL 2018
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences
ACL 2017