| 2025 | Can LLMs Narrate Tabular Data? An Evaluation Framework for Natural Language Representations of Text-to-SQL System Outputs. | Jyotika Singh, Weiyi Sun, Amit Agarwal, Viji Krishnamurthy, Yassine Benajiba, Sujith Ravi, Dan Roth |
| 2025 | (Almost) Free Modality Stitching of Foundation Models. | Jaisidh Singh, Diganta Misra, Boris Knyazev, Antonio Orvieto |
| 2025 | Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports. | Punit Kumar Singh, Nishant Kumar, Akash Ghosh, Kunal Pasad, Khushi Soni, Manisha Jaishwal, Sriparna Saha, Syukron Abu Ishaq Alfarozi, Asres Temam Abagissa, Kitsuchart Pasupa, Haiqin Yang, Jos G. Moreno |
| 2025 | Data-scarce Behavior Editing of Language Models. | Joykirat Singh, Subhabrata Dutta, Tanmoy Chakraborty |
| 2025 | Leveraging the Cross-Domain & Cross-Linguistic Corpus for Low Resource NMT: A Case Study On Bhili-Hindi-English Parallel Corpus. | Pooja Singh, Shashwat Bhardwaj, Vaibhav Sharma, Sandeep Kumar |
| 2025 | MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space. | Anshul Singh, Chris Biemann, Jan Strich |
| 2025 | The More, The Better? A Critical Study of Multimodal Context in Radiology Report Summarization. | Mong Yuan Sim, Wei Emma Zhang, Xiang Dai, Biaoyan Fang, Sarbin Ranjitkar, Arjun Burlakoti, Jamie Taylor, Haojie Zhuang |
| 2025 | DeFT-X: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer. | Sona Elza Simon, Preethi Jyothi |
| 2025 | Improving Large Language Model Safety with Contrastive Representation Learning. | Samuel Simko, Mrinmaya Sachan, Bernhard Schlkopf, Zhijing Jin |
| 2025 | Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer. | Adi Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov |
| 2025 | VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models. | Bingrui Sima, Linhua Cong, Wenxuan Wang, Kun He |
| 2025 | GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery. | Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He |
| 2025 | LLMs on a Budget? Say HOLA. | Zohaib Hasan Siddiqui, Jiechao Gao, Ebad Shabbir, Mohammad Anas Azeez, Rafiq Ali, Gautam Siddharth Kashyap, Usman Naseem |
| 2025 | Adaptive Platt Scaling with Causal Interpretations for Self-Reflective Language Model Uncertainty Estimates. | Anthony Sicilia, Malihe Alikhani |
| 2025 | Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability. | Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Ali Payani, Lu Cheng, Mengnan Du |
| 2025 | A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models. | Dong Shu, Xuansheng Wu, Haiyan Zhao, Daking Rai, Ziyu Yao, Ninghao Liu, Mengnan Du |
| 2025 | Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders. | Dong Shu, Xuansheng Wu, Haiyan Zhao, Mengnan Du, Ninghao Liu |
| 2025 | Recon, Answer, Verify: Agents in Search of Truth. | Satyam Shukla, Himanshu Dutta, Pushpak Bhattacharyya |
| 2025 | Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. | Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk |
| 2025 | PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction. | Anubhav Shrimal, Aryan Jain, Soumyajit Chowdhury, Promod Yenigalla |
| 2025 | LLM Bias Detection and Mitigation through the Lens of Desired Distributions. | Ingroj Shrestha, Padmini Srinivasan |
| 2025 | Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings. | Safal Shrestha, Minwu Kim, Aadim Nepal, Anubhav Shrestha, Keith W. Ross |
| 2025 | Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs. | Amber Shore, Russell Scheinberg, Ameeta Agrawal, So Young Lee |
| 2025 | Visual Program Distillation with Template-Based Augmentation. | Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem |
| 2025 | Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling. | Zhenning Shi, Yijia Zhu, Yi Xie, Junhan Shi, Guorui Xie, Haotian Zhang, Yong Jiang, Congcong Miao, Qing Li |