Ben He
41 papers · 2013–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (72) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Conference Loyalist
(20)
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Deep Specialist
(11)
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Dynamic Duo
(39)
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Topic Evolution
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Keyword Champion
(2)
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Keyword Pioneer
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Trend Setter
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Unstoppable Β· Bronze
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The Questioner
(5)
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Keyword Collector
(196)
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Renaissance Researcher
(6)
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Century Club Β· Bronze
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Prolific Year Β· Prolific
Top co-authors
Research topics
Natural Language Processing
(31)
Machine Learning
(30)
Artificial Intelligence
(25)
Core AI
(23)
Applications
(22)
Learning Types Β· Machine Learning
(21)
Deep Learning
(12)
Resources & Methods
(12)
Learning Types Β· Deep Learning
(10)
Core Methods
(9)
Generation
(5)
Application Areas
(4)
Optimization & Theory
(4)
Architectures
(3)
Learning Paradigms
(3)
Keywords
large language model
(17)
information retrieval
(6)
question answering
(5)
adversarial attack
(3)
entity set expansion
(3)
query expansion
(3)
neural ranking model
(3)
open-domain question answering
(3)
document retrieval
(3)
ai-generated text detection
(2)
reinforcement learning
(2)
reward model
(2)
hallucination mitigation
(2)
retrieval-augmented generation
(2)
commonsense reasoning
(2)
text classification
(2)
in-context learning
(2)
adversarial learning
(2)
dense retrieval
(2)
domain adaptation
(2)
Papers
All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG
ACL 2026
CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection
ACL 2026
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models
EACL 2026
Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration
EACL 2026
SURE or Not? Investigating Semantic Understanding in Dense Retrieval Models
ACL 2026
TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking
AAAI 2026
Can LLMs Clarify? Investigation and Enhancement of Large Language Models on Argument Claim Optimization
COLING 2025
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch
ACL 2025
Code-SPA: Style Preference Alignment to Large Language Models for Effective and Robust Code Debugging
ACL 2025
ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch
EMNLP 2025
CRUXEVAL-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
ACL 2025
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
ACL 2025
Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning
ACL 2025
Not All Terms Matter: Recall-Oriented Adaptive Learning for PLM-aided Query Expansion in Open-Domain Question Answering
ACL 2025
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
ACL 2025
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
ICLR 2025
Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models
ACL 2025
Analyze, Generate and Refine: Query Expansion with LLMs for Zero-Shot Open-Domain QA
ACL 2024
ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models
COLING 2024
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
COLING 2024
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting
AAAI 2024
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors
ACL 2024
PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking
ACL 2024
Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
ACL 2024
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
NeurIPS 2024
Spiral of Silence: How is Large Language Model Killing Information Retrieval?βA Case Study on Open Domain Question Answering
ACL 2024
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification
ACL 2024
Contextual Interaction for Argument Post Quality Assessment
EMNLP 2023
Contrastive Distant Supervision for Debiased and Denoised Machine Reading Comprehension
EMNLP 2023
Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection
EMNLP 2023
Towards Imperceptible Document Manipulations against Neural Ranking Models
ACL 2023
Understanding Differential Search Index for Text Retrieval
ACL 2023
Towards Robust Dense Retrieval via Local Ranking Alignment
IJCAI 2022
BERT-QE: Contextualized Query Expansion for Document Re-ranking
EMNLP 2020
End-to-End Bootstrapping Neural Network for Entity Set Expansion
AAAI 2020
Global Bootstrapping Neural Network for Entity Set Expansion
EMNLP 2020
Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing
AAAI 2020
Learning to Bootstrap for Entity Set Expansion
EMNLP 2019
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
EMNLP 2018
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring
ACL 2018
Automated Essay Scoring by Maximizing Human-Machine Agreement
EMNLP 2013