Nikolaos Pappas

According to our database, Nikolaos Pappas authored at least 21 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning.

Duygu Nur Yaldiz, Evangelia Spiliopoulou, Zheng Qi, Siddharth Varia, Srikanth Doss, Nikolaos Pappas

CoRR, January, 2026

Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking.

Rheeya Uppaal, Phu Mon Htut, Min Bai, Nikolaos Pappas, Zheng Qi, Sandesh Swamy

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation.

Zheng Qi, Chao Shang, Evangelia Spiliopoulou, Nikolaos Pappas

CoRR, October, 2025

Cross-Modal Content Optimization for Steering Web Agent Preferences.

Tanqiu Jiang, Min Bai, Nikolaos Pappas, Yanjun Qi, Sandesh Swamy

CoRR, October, 2025

Towards Long Context Hallucination Detection.

Siyi Liu, Kishaloy Halder, Zheng Qi, Wei Xiao, Nikolaos Pappas, Phu Mon Htut, Neha Anna John, Yassine Benajiba, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty.

Yu Feng, Phu Mon Htut, Zheng Qi, Wei Xiao, Manuel Mager, Nikolaos Pappas, Kishaloy Halder, Yang Li, Yassine Benajiba, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models.

Qin Liu, Chao Shang, Ling Liu, Nikolaos Pappas, Jie Ma, Neha Anna John, Srikanth Doss, Lluís Màrquez, Miguel Ballesteros, Yassine Benajiba

Proceedings of the Findings of the Association for Computational Linguistics, 2025

DeAL: Decoding-time Alignment for Large Language Models.

James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi-An Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

DiverseAgentEntropy: Quantifying Black-Box LLM Uncertainty through Diverse Perspectives and Multi-Agent Interaction.

Yu Feng, Phu Mon Htut, Zheng Qi, Wei Xiao, Manuel Mager, Nikolaos Pappas, Kishaloy Halder, Yang Li, Yassine Benajiba, Dan Roth

CoRR, 2024

Inference time LLM alignment in single and multidomain preference spectrum.

Sadat Shahriar, Zheng Qi, Nikolaos Pappas, Srikanth Doss, Monica Sunkara, Kishaloy Halder, Manuel Mager, Yassine Benajiba

CoRR, 2024

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets.

Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour

CoRR, 2024

DeAL: Decoding-time Alignment for Large Language Models.

James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi'an Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth

CoRR, 2024

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets.

Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Lijia Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Sequential Editing for Lifelong Training of Speech Recognition Models.

Devang Kulshreshtha, Nikolaos Pappas, Brady Houston, Saket Dingliwal, Srikanth Ronanki

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Backward Compatibility During Data Updates by Weight Interpolation.

Raphael Schumann, Elman Mansimov, Yi-An Lai, Nikolaos Pappas, Xibin Gao, Yi Zhang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Eliciting Better Multilingual Structured Reasoning from LLMs through Code.

Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens.

Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conversation Style Transfer using Few-Shot Learning.

Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing.

Shufan Wang, Sébastien Jean, Sailik Sengupta, James Gung, Nikolaos Pappas, Yi Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification.

Mujeen Sung, James Gung, Elman Mansimov, Nikolaos Pappas, Raphael Shu, Salvatore Romeo, Yi Zhang, Vittorio Castelli

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Dialog2API: Task-Oriented Dialogue with API Description and Example Programs.

Raphael Shu, Elman Mansimov, Tamer Alkhouli, Nikolaos Pappas, Salvatore Romeo, Arshit Gupta, Saab Mansour, Yi Zhang, Dan Roth

CoRR, 2022