Data Diversification: An Elegant Strategy For Neural Machine Translation. - Xuan-Phi Nguyen; Shafiq R. Joty; Wu Kui 004; Ai Ti Aw (CoRR, 2019)

Efficient Constituency Parsing by Pointing. - Thanh-Tung Nguyen; Xuan-Phi Nguyen; Shafiq R. Joty; Xiaoli Li 001 (ACL, 2020)

Differentiable Window for Dynamic Local Attention. - Thanh-Tung Nguyen; Xuan-Phi Nguyen; Shafiq R. Joty; Xiaoli Li 001 (ACL, 2020)

Tree-Structured Attention with Hierarchical Accumulation. - Xuan-Phi Nguyen; Shafiq R. Joty; Steven C. H. Hoi; Richard Socher (ICLR, 2020)

Data Diversification: A Simple Strategy For Neural Machine Translation. - Xuan-Phi Nguyen; Shafiq R. Joty; Kui Wu 004; Ai Ti Aw (NeurIPS, 2020)

Multi-Agent Cross-Translated Diversification for Unsupervised Machine Translation. - Xuan-Phi Nguyen; Shafiq R. Joty; Wu Kui 004; Ai Ti Aw (CoRR, 2020)

A Conditional Splitting Framework for Efficient Constituency Parsing. - Thanh-Tung Nguyen; Xuan-Phi Nguyen; Shafiq R. Joty; Xiaoli Li 001 (ACL/IJCNLP (1), 2021)

Cross-model Back-translated Distillation for Unsupervised Machine Translation. - Xuan-Phi Nguyen; Shafiq R. Joty; Thanh-Tung Nguyen; Kui Wu 004; Ai Ti Aw (ICML, 2021)

RST Parsing from Scratch. - Thanh-Tung Nguyen; Xuan-Phi Nguyen; Shafiq R. Joty; Xiaoli Li 001 (NAACL-HLT, 2021)

Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation. - Xuan-Phi Nguyen; Hongyu Gong; Yun Tang 002; Changhan Wang; Philipp Koehn; Shafiq R. Joty (ICLR, 2022)

Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model. - Xuan-Phi Nguyen; Shafiq R. Joty; Kui Wu 004; Ai Ti Aw (NeurIPS, 2022)

Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model. - Xuan-Phi Nguyen; Shafiq R. Joty; Wu Kui 004; Ai Ti Aw (CoRR, 2022)

Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization. - Chenhui Shen; Liying Cheng; Xuan-Phi Nguyen; Yang You; Lidong Bing (EMNLP (Findings), 2023)

A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. - Chenhui Shen; Liying Cheng; Xuan-Phi Nguyen; Yang You; Lidong Bing (EMNLP (Findings), 2023)

Improving Speech-to-Speech Translation Through Unlabeled Text. - Xuan-Phi Nguyen; Sravya Popuri; Changhan Wang; Yun Tang 002; Ilia Kulikov; Hongyu Gong (ICASSP, 2023)

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts. - Xuan-Phi Nguyen; Sharifah Mahani Aljunied; Shafiq Joty; Lidong Bing (CoRR, 2023)

SeaLLMs - Large Language Models for Southeast Asia. - Xuan-Phi Nguyen; Wenxuan Zhang 001; Xin Li 056; Mahani Aljunied; Qingyu Tan; Liying Cheng; Guanzheng Chen; Yue Deng 010; Sen Yang 005; Chaoqun Liu; Hang Zhang; Lidong Bing (CoRR, 2023)

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts. - Xuan-Phi Nguyen; Mahani Aljunied; Shafiq Joty; Lidong Bing (ACL (1), 2024)

ParaICL: Towards Robust Parallel In-Context Learning. - Xingxuan Li; Xuan-Phi Nguyen; Shafiq Joty; Lidong Bing (CoRR, 2024)

SFR-RAG: Towards Contextually Faithful LLMs. - Xuan-Phi Nguyen; Shrey Pandit; Senthil Purushwalkam; Austin Xu; Hailin Chen; Yifei Ming; Zixuan Ke; Silvio Savarese; Caiming Xong; Shafiq Joty (CoRR, 2024)

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction. - Zhenmei Shi; Yifei Ming; Xuan-Phi Nguyen; Yingyu Liang; Shafiq Joty (CoRR, 2024)

StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. - Hailin Chen; Fangkai Jiao; Mathieu Ravaut; Nawshad Farruque; Xuan-Phi Nguyen; Chengwei Qin; Manan Dey; Bosheng Ding; Caiming Xiong; Shafiq Joty; Yingbo Zhou (CoRR, 2024)

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". - Yifei Ming; Senthil Purushwalkam; Shrey Pandit; Zixuan Ke; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (ICLR, 2025)

ParaICL: Towards Parallel In-Context Learning. - Xingxuan Li; Xuan-Phi Nguyen; Shafiq Joty; Lidong Bing (NAACL (Long Papers), 2025)

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. - Zixuan Ke; Fangkai Jiao; Yifei Ming; Xuan-Phi Nguyen; Austin Xu; Do Xuan Long; Minzhi Li; Chengwei Qin; Peifeng Wang; Silvio Savarese; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)

Demystifying Domain-adaptive Post-training for Financial LLMs. - Zixuan Ke; Yifei Ming; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (CoRR, 2025)

SweRank: Software Issue Localization with Code Ranking. - Revanth Gangi Reddy; Tarun Suresh; JaeHyeok Doo; Ye Liu 006; Xuan-Phi Nguyen; Yingbo Zhou; Semih Yavuz; Caiming Xiong; Heng Ji 001; Shafiq Joty (CoRR, 2025)

J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization. - Austin Xu; Yilun Zhou; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (CoRR, 2025)

MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision. - Zixuan Ke; Austin Xu; Yifei Ming; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (CoRR, 2025)

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows. - Yifei Ming; Zixuan Ke; Xuan-Phi Nguyen; Jiayu Wang; Shafiq Joty (CoRR, 2025)