Insights into the Challenges and Opportunities of Large Multi-Modal Models for Blind and Low Vision Users: CLIP
PARIKSHA: A Scalable, Democratic, Transparent Evaluation Platform for Assessing Indic Large Language Models
Publication ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles Kayo Yin, Chinmay Singh, Fyodor O. Minakov, Vanessa Milan, Hal Daumé, Cyril Zhang, Alex Lu, Danielle Bragg Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing | November 2024 Project
Publication Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh EMNLP 2024, BlackBox NLP workshop | November 2024
Publication Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat 2024 Empirical Methods in Natural Language Processing | November 2024
Publication TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024 Project
Publication SciAgent: Tool-augmented Language Models for Scientific Reasoning Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun 2024 Empirical Methods in Natural Language Processing | November 2024
Publication PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
Publication Little Giants: Synthesizing High-Quality Embedding Data at Scale Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou NAACL 2025 | October 2024
Publication i-Code Studio: A Configurable and Composable Framework for Integrative AI Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP24 Demo Track) | October 2024
Publication ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu MSR-TR-2024-63 | October 2024 Published by Microsoft Download
Publication AI Should Challenge, Not Obey Advait Sarkar October 2024 CACM Cover Story Video Project Project Project