Hongyin Luo
28 papers · 2015–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (10)
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Hot Topic Early Bird
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Cross-Pollinator
(12)
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Conference Polyglot
(9)
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Dynamic Duo
(15)
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Topic Evolution
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Century Club
(28)
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Trend Setter
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Keyword Collector
(101)
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Prolific Year
(6)
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Unstoppable
(8)
Conferences
ACL (7)
EMNLP (6)
ICLR (4)
NAACL (4)
INTERSPEECH (3)
EACL (1)
ICML (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Keywords
bias mitigation
(3)
question answering
(3)
language model
(3)
conversational question answering
(2)
retrieval augmented generation
(2)
invariant rationalization
(2)
spurious correlation
(2)
knowledge graph
(2)
reinforcement learning
(2)
attention mechanism
(2)
question generation
(2)
game-theoretic framework
(2)
few-shot learning
(2)
toxic language detection
(2)
retrieval-augmented generation
(2)
unsupervised learning
(2)
domain adaptation
(2)
instruction tuning
(2)
self-supervised learning
(1)
direct preference optimization
(1)
Papers
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution
ACL 2025
RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning
EMNLP 2025
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
ICLR 2025
Quantifying Generalization Complexity for Large Language Models
ICLR 2025
THREAD: Thinking Deeper with Recursive Spawning
NAACL 2025
Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains
ACL 2025
Listen, Think, and Understand
ICLR 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models
ACL 2024
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers
EMNLP 2024
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
ICLR 2024
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
ICML 2024
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
NAACL 2024
ConvRGX: Recognition, Generation, and Extraction for Self-trained Conversational Question Answering
ACL 2023
Entailment as Robust Self-Learner
ACL 2023
Search Augmented Instruction Learning
EMNLP 2023
Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning
EACL 2023
Cooperative Self-training of Machine Reading Comprehension
NAACL 2022
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
NAACL 2022
Mitigating Biases in Toxic Language Detection through Invariant Rationalization
ACL 2021
Mitigating Biases in Toxic Language Detection through Invariant Rationalization
IJCNLP 2021
Joint Retrieval-Extraction Training for Evidence-Aware Dialog Response Selection
INTERSPEECH 2021
Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks
EMNLP 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption
INTERSPEECH 2020
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
ACL 2019
Integrating Video Retrieval and Moment Detection in a Unified Corpus for Video Question Answering
INTERSPEECH 2019
Learning Word Representations with Cross-Sentence Dependency for End-to-End Co-reference Resolution
EMNLP 2018
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks
IJCAI 2016
Online Learning of Interpretable Word Embeddings
EMNLP 2015