Compiler Assisted Instruction Relocation for Performance Improvement of Cache Hit Rate and System Reliability. - Benbin Chen; Lin Li 032; Yiyang Li; Hongyin Luo; Donghui Guo (SERE (Companion), 2014)

Hybrid circuit-switched network for on-chip communication in large-scale chip-multiprocessors. - Hongyin Luo; Shaojun Wei; Deming Chen; Donghui Guo (J. Parallel Distributed Comput., 2014)

Online Learning of Interpretable Word Embeddings. - Hongyin Luo; Zhiyuan Liu 001; Huan-Bo Luan; Maosong Sun 001 (EMNLP, 2015)

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. - Jie Fu 001; Hongyin Luo; Jiashi Feng; Kian Hsiang Low; Tat-Seng Chua (IJCAI, 2016)

Bidirectional Backpropagation: Towards Biologically Plausible Error Signal Transmission in Neural Networks. - Hongyin Luo; Jie Fu; James R. Glass (CoRR, 2017)

Learning Word Representations with Cross-Sentence Dependencyfor End-to-End Co-reference Resolution. - Hongyin Luo; James R. Glass (EMNLP, 2018)

Race-Condition-Aware and Hardware-Oriented Task Partitioning and Scheduling Using Entropy Maximization. - Sizhao Li; Yuanzhi Zhang; Hongyin Luo; Yan Chen; Chao Lu 005; Donghui Guo (IEEE Trans. Parallel Distributed Syst., 2018)

Improving Neural Language Models by Segmenting, Attending, and Predicting the Future. - Hongyin Luo; Lan Jiang; Yonatan Belinkov; James R. Glass (ACL (1), 2019)

Integrating Video Retrieval and Moment Detection in a Unified Corpus for Video Question Answering. - Hongyin Luo; Mitra Mohtarami; James R. Glass; Karthik Krishnamurthy; Brigitte Richardson (INTERSPEECH, 2019)

Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks. - Hongyin Luo; Shang-Wen Li 001; James R. Glass (ClinicalNLP@EMNLP, 2020)

Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption. - Hongyin Luo; Shang-Wen Li 001; James R. Glass (INTERSPEECH, 2020)

Joint Retrieval-Extraction Training for Evidence-Aware Dialog Response Selection. - Hongyin Luo; James R. Glass; Garima Lalwani; Yi Zhang; Shang-Wen Li 001 (Interspeech, 2021)

Cooperative Learning of Zero-Shot Machine Reading Comprehension. - Hongyin Luo; Shang-Wen Li 001; Seunghak Yu; James R. Glass (CoRR, 2021)

Meta-learning for downstream aware and agnostic pretraining. - Hongyin Luo; Shuyan Dong; Yung-Sung Chuang; Shang-Wen Li 001 (CoRR, 2021)

Mitigating Biases in Toxic Language Detection through Invariant Rationalization. - Yung-Sung Chuang; Mingye Gao; Hongyin Luo; James R. Glass; Hung-Yi Lee; Yun-Nung Chen; Shang-Wen Li 001 (CoRR, 2021)

Reconfigurable TPM Implemented with Ultralow-Power Management in 28nm CMOS Process for IoT SoC Design. - Zenan Huang; Xiao Zhang; Jiebin Su; Zhixin Zhou; Hongyin Luo; Donghui Guo (J. Hardw. Syst. Secur., 2021)

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. - Yung-Sung Chuang; Rumen Dangovski; Hongyin Luo; Yang Zhang 001; Shiyu Chang; Marin Soljacic; Shang-Wen Li 001; Scott Yih; Yoon Kim; James R. Glass (NAACL-HLT, 2022)

Cooperative Self-training of Machine Reading Comprehension. - Hongyin Luo; Shang-Wen Li 001; Mingye Gao; Seunghak Yu; James R. Glass (NAACL-HLT, 2022)

New paradigm of FPGA-based computational intelligence from surveying the implementation of DNN accelerators. - Yang You; Yinghui Chang; Weikang Wu; Bingrui Guo; Hongyin Luo; Xiaojie Liu; Bijing Liu; Kairong Zhao; Shan He 003; Lin Li; Donghui Guo (Des. Autom. Embed. Syst., 2022)

Self-Training for Natural Language Processing - Hongyin Luo (2022)

Entailment as Robust Self-Learner. - Jiaxin Ge; Hongyin Luo; Yoon Kim; James R. Glass (ACL (1), 2023)

Joint Audio and Speech Understanding. - Yuan Gong 001; Alexander H. Liu; Hongyin Luo; Leonid Karlinsky; James R. Glass (ASRU, 2023)

Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning. - Hongyin Luo; James R. Glass (EACL, 2023)

Search Augmented Instruction Learning. - Hongyin Luo; Tianhua Zhang; Yung-Sung Chuang; Yuan Gong 001; Yoon Kim; Xixin Wu; Helen Meng; James R. Glass (EMNLP (Findings), 2023)

Interpretable Unified Language Checking. - Tianhua Zhang; Hongyin Luo; Yung-Sung Chuang; Wei Fang; Luc Gaitskell; Thomas Hartvigsen; Xixin Wu; Danny Fox; Helen Meng; James R. Glass (CoRR, 2023)

Chain of Thought Prompt Tuning in Vision Language Models. - Jiaxin Ge; Hongyin Luo; Siyuan Qian; Yulu Gan; Jie Fu 001; Shanghang Zhang (CoRR, 2023)

SAIL: Search-Augmented Instruction Learning. - Hongyin Luo; Yung-Sung Chuang; Yuan Gong 001; Tianhua Zhang; Yoon Kim; Xixin Wu; Danny Fox; Helen Meng; James R. Glass (CoRR, 2023)

Self-Specialization: Uncovering Latent Expertise within Large Language Models. - Junmo Kang; Hongyin Luo; Yada Zhu; James R. Glass; David D. Cox; Alan Ritter; Rogério Feris; Leonid Karlinsky (CoRR, 2023)

Dynamic RRT: Fast Feasible Path Planning in Randomly Distributed Obstacle Environments. - Penglei Zhao; Yinghui Chang; Weikang Wu; Hongyin Luo; Zhixin Zhou; Yanping Qiao; Ying Li; Chenhui Zhao; Zenan Huang; Bijing Liu; Xiaojie Liu; Shan He 003; et al. (J. Intell. Robotic Syst., 2023)

Front-End Rectifier of Self-Compensation Matching with Parasitic Cancellation for Dual-Band RFID Tag. - Xianming Liu; Yinghui Chang; Weikang Wu; Zhixin Zhou; Hongyin Luo; Wenrun Xiao; Chao Huang; Donghui Guo (J. Circuits Syst. Comput., 2023)

Efficient memory reuse methodology for CNN-based real-time image processing in mobile-embedded systems. - Kairong Zhao; Yinghui Chang; Weikang Wu; Hongyin Luo; Zirun Li; Shan He 003; Donghui Guo (J. Real Time Image Process., 2023)

Self-Specialization: Uncovering Latent Expertise within Large Language Models. - Junmo Kang; Hongyin Luo; Yada Zhu; Jacob A. Hansen; James R. Glass; David D. Cox; Alan Ritter; Rogério Feris; Leonid Karlinsky (ACL (Findings), 2024)

Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers. - Tianhua Zhang; Kun Li 003; Hongyin Luo; Xixin Wu; James R. Glass; Helen Meng (EMNLP, 2024)

Listen, Think, and Understand. - Yuan Gong 001; Hongyin Luo; Alexander H. Liu; Leonid Karlinsky; James R. Glass (ICLR, 2024)

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models. - Yung-Sung Chuang; Yujia Xie; Hongyin Luo; Yoon Kim; James R. Glass; Pengcheng He (ICLR, 2024)

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding. - Zhaorun Chen; Zhuokai Zhao; Hongyin Luo; Huaxiu Yao; Bo Li 026; Jiawei Zhou (ICML, 2024)

Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning. - Tianhua Zhang; Jiaxin Ge; Hongyin Luo; Yung-Sung Chuang; Mingye Gao; Yuan Gong 001; Yoon Kim; Xixin Wu; Helen Meng; Jim Glass 001 (NAACL-HLT (Findings), 2024)

RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation. - Chi-Min Chan; Chunpu Xu; Ruibin Yuan; Hongyin Luo; Wei Xue 002; Yike Guo; Jie Fu 001 (CoRR, 2024)

Training Task Experts through Retrieval Based Distillation. - Jiaxin Ge; Xueying Jia; Vijay Viswanathan 002; Hongyin Luo; Graham Neubig (CoRR, 2024)

Addition is All You Need for Energy-efficient Language Models. - Hongyin Luo; Wei Sun (CoRR, 2024)

Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution. - Kun Li 003; Tianhua Zhang; Yunxiang Li; Hongyin Luo; Abdalla Mohamed Salama Sayed Moustafa; Xixin Wu; James R. Glass; Helen M. Meng (ACL (Findings), 2025)

Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains. - Kun Li 003; Tianhua Zhang; Xixin Wu; Hongyin Luo; James R. Glass; Helen M. Meng (ACL (1), 2025)

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. - Junmo Kang; Leonid Karlinsky; Hongyin Luo; Zhen Wang 041; Jacob A. Hansen; James R. Glass; David Daniel Cox; Rameswar Panda; Rogério Feris; Alan Ritter (ICLR, 2025)

Quantifying Generalization Complexity for Large Language Models. - Zhenting Qi; Hongyin Luo; Xuliang Huang; Zhuokai Zhao; Yibo Jiang; Xiangjun Fan; Himabindu Lakkaraju; James R. Glass (ICLR, 2025)

THREAD: Thinking Deeper with Recursive Spawning. - Philip Schroeder; Nathaniel Morgan; Hongyin Luo; James R. Glass (NAACL (Long Papers), 2025)

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion. - Jacob A. Hansen; Wei Lin 019; Junmo Kang; Muhammad Jehanzeb Mirza; Hongyin Luo; Rogério Feris; Alan Ritter; James R. Glass; Leonid Karlinsky (CoRR, 2025)

RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning. - Kun Li 003; Yunxiang Li; Tianhua Zhang; Hongyin Luo; Xixin Wu; James R. Glass; Helen Meng (CoRR, 2025)

Optimized Inference Scheme for Conditional Computation in On-Device Object Detection. - Kairong Zhao; Yinghui Chang; Weikang Wu; Zirun Li; Hongyin Luo; Shan He 003; Donghui Guo (IEEE Embed. Syst. Lett., 2025)

Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning. - Hongyin Luo; Nathaniel Morgan; Tina Li; Derek Zhao; Ai Vy Ngo; Philip Schroeder; Lijie Yang; Assaf Ben-Kish; Jack O'Brien; James R. Glass (CoRR, 2025)

ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks. - Philip Schroeder; Ondrej Biza; Thomas Weng; Hongyin Luo; James Glass 001 (CoRR, 2025)