Shafiq Joty
Associate Professor
Works on natural language processing, including LLM reasoning, multilingual and multimodal language models, discourse and question answering.
Shafiq Joty's lab at NTU works on large language models, reasoning & agents and vision-language & multimodal. 110 papers since 2023, 85 at top venues, mostly ACL and EMNLP. 1 PhD student. 16 alumni, most often to Amazon and Apple.
At a glance
- papers, 2023–2026
- 29/ year
- at T1 venues
- 77%
- PhD students
- 1
- MS students
- 0
- alumni listed
- 16
Papers by yearfrom the lab homepage, 2023–2026
- 25 papers2026 · T1 23 · collecting
- 32 papers2025 · T1 26
- 29 papers2024 · T1 21
- 24 papers2023 · T1 15
T1 venuesOtherVenues: ACL, EMNLP, ICLR, NeurIPS, ICML
Research focuspaper titles that use each topic's words
- Large language models53 papers
- Vision-language & multimodal32 papers
- Reasoning & agents23 papers
- llm reasoning1 paper
- discourse0 papers
Paper list
From the lab homepage.
202625 papers
- EACLAligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization (opens in a new tab)
- EMNLP (T1)Can Vibe Coders Really Pass the Vibe Check? An Empirical Analysis of Fault-Targeted Reasoning in Frontier LLMs (opens in a new tab)
- EACLDashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards (opens in a new tab)
- ACL (T1)Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction (opens in a new tab)
- EMNLP (T1)DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments? (opens in a new tab)
- ICLR (T1)Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains (opens in a new tab)
- ACL (T1)Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math (opens in a new tab)
- EMNLP (T1)Harnessing LLM Agents with Skill Programs (opens in a new tab)
- ACL (T1)J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization (opens in a new tab)
- EMNLP (T1)Jury Duty: Calibration and Orientation Failures in MLLM-as-a-Judge Under Cultural Ambiguity (opens in a new tab)
- NeurIPS (T1)Learning from Language Feedback via Variational Policy Distillation (opens in a new tab)
- ICML (T1)Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts (opens in a new tab)
202532 papers
- TMLR (T1)A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems (opens in a new tab)
- Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language TechnologiesAdaptation of Large Language Models (opens in a new tab)
- NeurIPS (T1)Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning (opens in a new tab)
- ACL (T1)Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines (opens in a new tab)
- ACL (T1)Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning (opens in a new tab)
- ACL (T1)Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks (opens in a new tab)
- EMNLP (T1)CEMTM: Contextual Embedding-based Multimodal Topic Modeling
- COLING (T1)ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild (opens in a new tab)
- ACL (T1)ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering (opens in a new tab)
- Second Conference on Language ModelingCodeXEmbed: A Generalist Embedding Model Family for Multilingual and Multi-task Code Retrieval (opens in a new tab)
- EMNLP (T1)Demystifying Domain-adaptive Post-training for Financial LLMs (opens in a new tab)
- EMNLP (T1)Direct Judgement Preference Optimization (opens in a new tab)
202429 papers
- EMNLP (T1)A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations (opens in a new tab)
- Annual Conference of the North American Chapter of the Association for Computational LinguisticsAdaPT: A Set of Guidelines for Hyperbolic Multimodal Multilingual NLP (opens in a new tab)
- Annual Conference of the North American Chapter of the Association for Computational LinguisticsBenchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization (opens in a new tab)
- ICLR (T1)Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases (opens in a new tab)
- ACL (T1)ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning (opens in a new tab)
- ICLR (T1)CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules (opens in a new tab)
- ACL (T1)Data Augmentation using LLMs: Methods, Learning Paradigms and Challenges (opens in a new tab)
- EMNLP (T1)DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts (opens in a new tab)
- ACL (T1)Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts (opens in a new tab)
- CVPR (T1)Diffusion Model Alignment Using Direct Preference Optimization (opens in a new tab)
- Annual Conference of the North American Chapter of the Association for Computational LinguisticsDIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text (opens in a new tab)
- Findings of ACLEfficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning (opens in a new tab)
202324 papers
- Findings of the Annual Meeting of the Association for Computational LinguisticsA Systematic Study of ChatGPT on Benchmark Datasets (opens in a new tab)
- Findings of the Annual Meeting of the Association for Computational LinguisticsContrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding
- ACL (T1)Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning
- ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software EngineeringEfficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models (opens in a new tab)
- Findings of the Conference on Empirical Methods in Natural Language ProcessingHPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution
- ACL (T1)Is GPT-3 a Good Data Annotator? (opens in a new tab)
- ACL (T1)Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? (opens in a new tab)
- EMNLP (T1)Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation
- —Long Sequence Modeling with XGen: A 7B LLM Trained on 8K Input Sequence Length (opens in a new tab)
- ACL (T1)Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation (opens in a new tab)
- Proceedings of the Conference on Empirical Methods in Natural Language Processing: Tutorial AbstractsNLP+Vis: NLP Meets Visualization (opens in a new tab)
- EMNLP (T1)Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
Where alumni went16 listed, 93% to industry
Industry 13Academia 1
Most often to
- Amazon
- Apple
- Huawei
Also to
- HKUST
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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