Human language technologies

Researching software and systems that bridge the linguistic divide between people and machines to make communicating with computers as natural as speaking with family and friends.

Lydia Nishimwe's MSR Africa, Nairobi seminar

Making Sentence Embeddings Robust to User-Generated Content | Video

Microsoft Research Forum | Episode 3 | Daniela Massiceti

Insights into the Challenges and Opportunities of Large Multi-Modal Models for Blind and Low Vision Users: CLIP

Project GraphRAG | LLM-Derived Knowledge Graphs

Microsoft Research Forum | Episode 3 | panel discussion

PARIKSHA: A Scalable, Democratic, Transparent Evaluation Platform for Assessing Indic Large Language Models

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Published Date

Publication

DiariST: Streaming Speech Translation with Speaker Diarization

Mu Yang, Naoyuki Kanda, Xiaofei Wang, Junkun Chen, Peidong Wang, Jian Xue, Jinyu Li, Takuya Yoshioka

ICASSP | April 2024

Publication

Mixture of LoRA Experts

Shaohan Huang, Furu Wei

ICLR 2024 | April 2024

Microsoft Research Blog

Learning from interaction with Microsoft Copilot (web)

March 27, 2024 | Scott Counts, Jennifer Neville, Mengting Wan, Ryen W. White, Longqi Yang

Microsoft researchers are taking a comprehensive and dynamic approach to help Copilot (web) continuously learn from interaction and feedback, improving the AI system and making it increasingly useful for consumers. Learn more.

flowchart showing how AI learns from user interactions

Publication

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024

Project Project

Publication

SpeechLM: Enhanced Speech Pre-Training With Unpaired Textual Data

Ziqiang Zhang, Sanyuan Chen, Long Zhou, Yu Wu, Shuo Ren, Shujie Liu, Zhuoyuan Yao, Xun Gong, Lirong Dai, Jinyu Li, Furu Wei

IEEE/ACM Transactions on Audio, Speech, and Language Processing | March 2024

Publication

Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram

North American Chapter of the Association for Computational Linguistics | March 2024

Project

Publication

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages

Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Marek Masiak, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin A. Mohamed, Temitayo Olatoye, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Anuoluwapo Aremu, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Ijeoma Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma EL ANIGRI, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Hassan Ayinde, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah al-Azzawi, Naome A Etori, Millicent Ochieng, Clemencia Siro, Njoroge Kiragu, Eric Muchiri, Wangari Kimotho, Toadoum Sari Sakayo, Lyse Naomi Momo Wamba, Daud Abolade, Simbiat Ajao, Tosin Adewumi, Iyanuoluwa Shode, Ricky Sambo Macharm, Ruqayya Nasir Iro, Saheed Salahudeen Abdullahi, Stephen Edward Moore, Bernard Opoku, Zainab Akinjobi, Abeeb Afolabi, Nnaemeka Casmir Obiefuna, Onyekachi Ogbu, Sam Brian Ochieng', Verrah Akinyi Otiende, CHINEDU EMMANUEL MBONU, Yao Lu, Pontus Stenetorp

North American Chapter of the Association for Computational Linguistics | March 2024

Project

Video

Escaping a room in Minecraft with an AI-powered NPC

March 8, 2024 | Sudha Rao

Video

Project Emergence

March 8, 2024 | Sudha Rao

This project envisions a future in which creators and players jointly create games that leverage the stunning generative power of new AI models in conjunction with Microsoft’s enormous gaming player base. Our goal is to…

Microsoft Research Blog

Improving LLM understanding of structured data and exploring advanced prompting methods

March 7, 2024 | Mengyu Zhou

Structural Understanding Capabilities is a new benchmark for evaluating and improving LLM comprehension of structured table data. This advance can help LLMs process and analyze data more effectively, broadening their applicability in real-world tasks.

Human language technologies

Highlights