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

Agent AI: Surveying the Horizons of Multimodal Interaction

Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong , Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Fei-Fei Li, Jianfeng Gao

arXiv: 2401.03568 | January 2024

Project

Publication

Improving Text Embeddings with Large Language Models

Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei

ACL 2024 | January 2024

Publication

Advanced Long-Content Speech Recognition with Factorized Neural Transducer

Xun Gong, Yu Wu, Jinyu Li, Shujie Liu, Rui Zhao, Xie Chen, Yanmin Qian

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

Microsoft Research Blog

Research at Microsoft 2023: A year of groundbreaking AI advances and discoveries

December 22, 2023

AI saw unparalleled growth in 2023, reaching millions daily. This progress owes much to the extensive work of Microsoft researchers and collaborators. In this review, learn about the advances in 2023, which set the stage…

Publication

Dissecting In-Context Learning of Translations in GPTs

Vikas Raunak, Arul Menezes, Hany Hassan Awadalla

NeurIPS 2023 | December 2023

Publication

Real-time Animation Generation and Control on Rigged Models via Large Language Models

Han Huang, Fernanda De La Torre, Cathy Mengying Fang, Andrzej Banburski-Fahey, Judith Amores, Jaron Lanier

NeurIPS 2023 | December 2023

Spotlight Paper

Project

Publication

BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing

Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Ben Van Durme

NeurIPS 2023 Track on Datasets and Benchmarks. | December 2023

Microsoft Research Blog

LLMLingua: Innovating LLM efficiency with prompt compression

December 7, 2023 | Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu

Advanced prompting technologies for LLMs can lead to excessively long prompts, causing issues. Learn how LLMLingua compresses prompts up to 20x, maintaining quality, reducing latency, and supporting improved UX.

Publication

Axiomatic Preference Modeling for Longform Question Answering

Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul Bennett

The 2023 Conference on Empirical Methods in Natural Language Processing | December 2023

Publication

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) | December 2023

Project

Human language technologies

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