Jiaqing Liang
51 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (90) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Conference Loyalist
(20)
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Topic Evolution
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Dynamic Duo
(49)
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Deep Specialist
(17)
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Renaissance Researcher
(7)
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Unstoppable · Bronze
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The Questioner
(6)
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Prolific Year · Prolific
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Century Club · Silver
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Trend Setter
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Keyword Collector
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Top co-authors
Research topics
Artificial Intelligence
(35)
Natural Language Processing
(34)
Core AI
(32)
Machine Learning
(26)
Resources & Methods
(19)
Deep Learning
(16)
Learning Types · Machine Learning
(16)
Applications
(15)
Learning Types · Deep Learning
(13)
Generation
(9)
Knowledge & Reasoning
(8)
Application Areas
(7)
Core Methods
(7)
Representation
(7)
Learning Paradigms
(6)
Keywords
large language model
(22)
language model
(7)
knowledge graph
(7)
instruction following
(5)
curriculum learning
(4)
information extraction
(4)
information retrieval
(3)
relation extraction
(3)
logical reasoning
(3)
benchmark evaluation
(2)
natural language understanding
(2)
knowledge base
(2)
first-order logic
(2)
named entity recognition
(2)
zero-shot learning
(2)
text generation
(2)
few-shot learning
(2)
attention mechanism
(2)
data augmentation
(2)
reinforcement learning
(2)
Papers
ComLQ: Benchmarking Complex Logical Queries in Information Retrieval
AAAI 2026
Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility
AAAI 2026
Immediate Inference: The Missing Foundation in Large Language Model Logical Reasoning
ACL 2026
Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following
ACL 2026
Measuring the Unmeasurable: Unveiling Latent Cognitive Capabilities of LLM
AAAI 2026
Metaphor Reasoning is Meta-reasoning
ACL 2026
What Makes an Ideal Quote? Recommending “Unexpected yet Rational” Quotations via Novelty
ACL 2026
BOOKWORLD: From Novels to Interactive Agent Societies for Story Creation
ACL 2025
CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory
ACL 2025
Character is Destiny: Can Persona-assigned Language Models Make Personal Choices?
EMNLP 2025
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs
EMNLP 2025
Dialect-SQL: An Adaptive Framework for Bridging the Dialect Gap in Text-to-SQL
EMNLP 2025
From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs?
EMNLP 2025
Gen-SQL: Efficient Text-to-SQL By Bridging Natural Language Question And Database Schema With Pseudo-Schema
COLING 2025
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
NAACL 2025
Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries
ACL 2025
MultiLingPoT: Boosting Mathematical Reasoning in LLMs through Multilingual Program Integration
EMNLP 2025
Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
EMNLP 2025
Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following
ACL 2025
Past Meets Present: Creating Historical Analogy with Large Language Models
ACL 2025
Skeletons Matter: Dynamic Data Augmentation for Text-to-Query
EMNLP 2025
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
ACL 2025
Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
ACL 2025
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
ICLR 2025
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
ACL 2024
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
EMNLP 2024
Can Large Language Models Understand Real-World Complex Instructions?
AAAI 2024
Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data
EMNLP 2024
CR-LLM: A Dataset and Optimization for Concept Reasoning of Large Language Models
ACL 2024
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
ACL 2024
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
EMNLP 2024
Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
COLING 2024
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
EMNLP 2024
Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models
ACL 2024
Reason from Fallacy: Enhancing Large Language Models’ Logical Reasoning through Logical Fallacy Understanding
NAACL 2024
SEGMENT+: Long Text Processing with Short-Context Language Models
EMNLP 2024
Small Language Model Can Self-Correct
AAAI 2024
ToNER: Type-oriented Named Entity Recognition with Generative Language Model
COLING 2024
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
ACL 2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting
ACL 2023
End-to-End Entity Linking with Hierarchical Reinforcement Learning
AAAI 2023
GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation
AAAI 2023
HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation
ACL 2023
MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base
AAAI 2023
Generative Entity Typing with Curriculum Learning
EMNLP 2022
Language Models as Knowledge Embeddings
IJCAI 2022
HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications
ACL 2021
Learning Term Embeddings for Lexical Taxonomies
AAAI 2021
Revisiting the Negative Data of Distantly Supervised Relation Extraction
ACL 2021
Relation Extraction Using Supervision from Topic Knowledge of Relation Labels
IJCAI 2019
How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source
IJCAI 2017