Hongyin Luo
27 papers · 2015–2025 · 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.
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Research topics
Natural Language Processing
(17)
Artificial Intelligence
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Machine Learning
(15)
Core AI
(14)
Applications
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Learning Types Β· Machine Learning
(9)
Deep Learning
(7)
Generation
(6)
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Learning Types Β· Deep Learning
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Optimization & Theory
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Keywords
question answering
(3)
language model
(3)
retrieval-augmented generation
(3)
attention mechanism
(2)
instruction tuning
(2)
unsupervised learning
(2)
reinforcement learning
(2)
knowledge graph
(2)
question generation
(2)
bias mitigation
(2)
large language model
(2)
conversational question answering
(2)
few-shot learning
(2)
domain adaptation
(2)
self-supervised learning
(1)
direct preference optimization
(1)
preference learning
(1)
symbolic reasoning
(1)
zero-shot learning
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learning theory
(1)
Papers
Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains
ACL 2025
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution
ACL 2025
Quantifying Generalization Complexity for Large Language Models
ICLR 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
THREAD: Thinking Deeper with Recursive Spawning
NAACL 2025
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
Listen, Think, and Understand
ICLR 2024
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
NAACL 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models
ACL 2024
ConvRGX: Recognition, Generation, and Extraction for Self-trained Conversational Question Answering
ACL 2023
Entailment as Robust Self-Learner
ACL 2023
Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning
EACL 2023
Search Augmented Instruction Learning
EMNLP 2023
Cooperative Self-training of Machine Reading Comprehension
NAACL 2022
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
NAACL 2022
Joint Retrieval-Extraction Training for Evidence-Aware Dialog Response Selection
Interspeech 2021
Mitigating Biases in Toxic Language Detection through Invariant Rationalization
ACL 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