Yansong Feng
105 papers · 2008–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π Academic Marathon (17)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
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Keyword Trendsetter Combo
(4)
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Conference Loyalist
(36)
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Dynamic Duo
(61)
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Topic Pioneer
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Deep Specialist
(13)
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Topic Evolution
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Keyword Champion
(2)
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Keyword Collector
(358)
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Trend Setter
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(16)
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Unstoppable
(12)
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Century Club
(101)
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The Questioner
(10)
π
Conference Pioneer
Conferences
ACL (39)
EMNLP (28)
NAACL (10)
IJCNLP (9)
COLING (5)
AAAI (4)
EACL (3)
IJCAI (3)
NIPS (2)
CONLL (1)
ICLR (1)
Top co-authors
Keywords
large language model
(13)
neural network
(11)
question answering
(11)
attention mechanism
(8)
graph neural network
(7)
low-resource language
(7)
relation extraction
(6)
knowledge graph
(6)
entity alignment
(6)
text generation
(6)
reinforcement learning
(5)
transfer learning
(5)
multi-hop reasoning
(5)
text classification
(4)
cross-lingual alignment
(3)
cross-lingual transfer
(3)
integer linear programming
(3)
document understanding
(3)
machine translation
(3)
information retrieval
(3)
Papers
Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion
ACL 2026
From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions
AAAI 2026
CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts
ACL 2026
D2Plan: Dual-Agent Dynamic Global Planning for Complex Retrieval-Augmented Reasoning
ACL 2026
Cross-Lingual Transfer of Cultural Knowledge: An Asymmetric Phenomenon
ACL 2025
Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation
ACL 2025
Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books
ACL 2025
How Much Do Large Language Models Know about Human Motion? A Case Study in 3D Avatar Control
EMNLP 2025
JUREX-4E: Juridical Expert-Annotated Four-Element Knowledge Base for Legal Reasoning
EMNLP 2025
Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering
COLING 2025
Recipe2Plan: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions
EMNLP 2025
EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding
ACL 2025
MiLiC-Eval: Benchmarking Multilingual LLMs for Chinaβs Minority Languages
ACL 2025
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
ACL 2024
Unlocking the Potential of Model Merging for Low-Resource Languages
EMNLP 2024
Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answering
EMNLP 2024
CASA: Causality-driven Argument Sufficiency Assessment
NAACL 2024
MC2: Towards Transparent and Culturally-Aware NLP for Minority Languages in China
ACL 2024
Harder Task Needs More Experts: Dynamic Routing in MoE Models
ACL 2024
ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice
ACL 2024
ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context
EMNLP 2024
Probing Multimodal Large Language Models for Global and Local Semantic Representations
COLING 2024
Motion Generation from Fine-grained Textual Descriptions
COLING 2024
Teaching Large Language Models an Unseen Language on the Fly
ACL 2024
UnifEE: Unified Evidence Extraction for Fact Verification
EACL 2023
Learning Dynamic Representations for Discourse Dependency Parsing
EMNLP 2023
DiNeR: A Large Realistic Dataset for Evaluating Compositional Generalization
EMNLP 2023
Enhancing Structured Evidence Extraction for Fact Verification
EMNLP 2023
From the One, Judge of the Whole: Typed Entailment Graph Construction with Predicate Generation
ACL 2023
More than Classification: A Unified Framework for Event Temporal Relation Extraction
ACL 2023
Align-then-Enhance: Multilingual Entailment Graph Enhancement with Soft Predicate Alignment
ACL 2023
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension
ACL 2023
Structure-Discourse Hierarchical Graph for Conditional Question Answering on Long Documents
ACL 2023
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
ACL 2023
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
ICLR 2023
An Intra-Class Relation Guided Approach for Code Comment Generation
EACL 2023
Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension
EACL 2023
Dual-Channel Evidence Fusion for Fact Verification over Texts and Tables
NAACL 2022
Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario
EMNLP 2022
Do Charge Prediction Models Learn Legal Theory?
EMNLP 2022
Improve Discourse Dependency Parsing with Contextualized Representations
NAACL 2022
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED
ACL 2022
Entailment Graph Learning with Textual Entailment and Soft Transitivity
ACL 2022
Things not Written in Text: Exploring Spatial Commonsense from Visual Signals
ACL 2022
Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study
NAACL 2021
Why Machine Reading Comprehension Models Learn Shortcuts?
ACL 2021
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
NAACL 2021
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models
NAACL 2021
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction
ACL 2021
Exploring Distantly-Labeled Rationales in Neural Network Models
ACL 2021
Exploring Distantly-Labeled Rationales in Neural Network Models
IJCNLP 2021
Extract, Integrate, Compete: Towards Verification Style Reading Comprehension
EMNLP 2021
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction
IJCNLP 2021
Why Machine Reading Comprehension Models Learn Shortcuts?
IJCNLP 2021
Towards Context-Aware Code Comment Generation
EMNLP 2020
Latent Template Induction with Gumbel-CRFs
NIPS 2020
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
AAAI 2020
Integrating Relation Constraints with Neural Relation Extractors
AAAI 2020
Semantic Graphs for Generating Deep Questions
ACL 2020
Neighborhood Matching Network for Entity Alignment
ACL 2020
Exploring Question-Specific Rewards for Generating Deep Questions
COLING 2020
Understanding Procedural Text using Interactive Entity Networks
EMNLP 2020
Domain Adaptation for Semantic Parsing
IJCAI 2020
Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering
NAACL 2019
Paraphrase Generation with Latent Bag of Words
NIPS 2019
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
EMNLP 2019
Jointly Learning Entity and Relation Representations for Entity Alignment
EMNLP 2019
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
IJCAI 2019
Lattice CNNs for Matching Based Chinese Question Answering
AAAI 2019
Jointly Learning Entity and Relation Representations for Entity Alignment
IJCNLP 2019
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
IJCNLP 2019
Learning to Update Knowledge Graphs by Reading News
IJCNLP 2019
Easy First Relation Extraction with Information Redundancy
IJCNLP 2019
Generating Classical Chinese Poems from Vernacular Chinese
IJCNLP 2019
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
ACL 2019
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
ACL 2019
Generating Classical Chinese Poems from Vernacular Chinese
EMNLP 2019
Learning to Update Knowledge Graphs by Reading News
EMNLP 2019
Easy First Relation Extraction with Information Redundancy
EMNLP 2019
Multi-grained Attention Network for Aspect-Level Sentiment Classification
EMNLP 2018
Modeling discourse cohesion for discourse parsing via memory network
ACL 2018
Learning to Converse with Noisy Data: Generation with Calibration
IJCAI 2018
Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
ACL 2018
Natural Answer Generation with Heterogeneous Memory
NAACL 2018
SQL-to-Text Generation with Graph-to-Sequence Model
EMNLP 2018
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
ACL 2017
Towards Implicit Content-Introducing for Generative Short-Text Conversation Systems
EMNLP 2017
Learning to Predict Charges for Criminal Cases with Legal Basis
EMNLP 2017
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models
ACL 2017
Hybrid Question Answering over Knowledge Base and Free Text
COLING 2016
Question Answering on Freebase via Relation Extraction and Textual Evidence
ACL 2016
Methods and Theories for Large-scale Structured Prediction
EMNLP 2016
Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling
EMNLP 2015
Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases
ACL 2015
Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases
IJCNLP 2015
Joint Inference for Knowledge Base Population
EMNLP 2014
Encoding Relation Requirements for Relation Extraction via Joint Inference
ACL 2014
Explore Person Specific Evidence in Web Person Name Disambiguation
CONLL 2012
Towards Automatic Construction of Knowledge Bases from Chinese Online Resources
ACL 2012
Explore Person Specific Evidence in Web Person Name Disambiguation
EMNLP 2012
Visual Information in Semantic Representation
NAACL 2010
Topic Models for Image Annotation and Text Illustration
NAACL 2010
How Many Words Is a Picture Worth? Automatic Caption Generation for News Images
ACL 2010
Title Generation with Quasi-Synchronous Grammar
EMNLP 2010
Automatic Image Annotation Using Auxiliary Text Information
ACL 2008