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

Microsoft Research Blog

Large-language models for automatic cloud incident management

May 16, 2023 | Rujia Wang, Chetan Bansal, Supriyo GHOSH, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

This research was accepted by the IEEE/ACM International Conference on Software Engineering (ICSE) (opens in new tab), which is a forum for researchers, practitioners, and educators to gather, present, and discuss the most recent innovations,…

Microsoft Research Blog

Research Focus: Week of May 8, 2023

May 10, 2023

In this issue: Microsoft researchers win four more awards; AutoRXN automates calculations of molecular systems; LLM accelerator losslessly improves the efficiency of autoregressive decoding; a frequency domain approach to predict power system transients.

Microsoft Research Focus 15 | Week of May 8, 2023

Publication

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models

Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron L Halfaker, Liqun Shao, Daniel McDuff, Ahmed Awadallah, Dragomir Radev, Jianfeng Gao

Proceedings of ACL 2023 | May 2023

Project Project

Publication

A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training

Nitay Calderon, Subhabrata (Subho) Mukherjee, Roi Reichart, Amir Kantor

ACL 2023 | May 2023

Publication

Generate rather than Retrieve: Large Language Models are Strong Context Generators

Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang

ICLR 2023 | May 2023

Publication

AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers

Ganesh Jawahar, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Awadallah, Sébastien Bubeck, Jianfeng Gao

ACL | May 2023

Project

Publication

LMGQS: A Large-scale Dataset for Query-focused Summarization

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng

May 2023

Publication

Prompting GPT-3 To Be Reliable

Silei Cheng, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan Boyd-Graber, Lijuan Wang

International Conference on Learning Representations (ICLR 23) | May 2023

Publication

Investigating Agency of LLMs in Human-AI Collaboration Tasks

Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan

2023 Conference of the European Chapter of the Association for Computational Linguistics | May 2023

Publication

Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao

11th International Conference on Learning Representations (ICLR 2023) | May 2023

Human language technologies

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