Type
Company
Country
Canada
CA
Documents
93
through any edge
Papers
93
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Microsoft (Canada) on the authorship, newest first.
2026-04-13 · 5 authors here
A Framework to Characterize Reporting on Generative AI Use
2026-04-13 · 17 authors here
Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation
2026-04-06 · 5 authors here
From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants
2025-10-25 · 13 authors here
Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis
2025-07-13 · 5 authors here
Tip of the Tongue Query Elicitation for Simulated Evaluation
2025-07-13 · 9 authors here
LLM4Eval: Large Language Model for Evaluation in IR
2025-07-13 · 8 authors here
IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents
2025-06-23 · 4 authors here
Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways
2025-05-08 · 4 authors here
JudgeBlender: Ensembling Automatic Relevance Judgments
2025-05-08 · 6 authors here
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval
2025-05-02 · 5 authors here
'It was 80% me, 20% AI': Seeking Authenticity in Co-Writing with Large Language Models
2025-04-24 · 5 authors here
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
2025-04-24 · 5 authors here
A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies
2025-04-24 · 5 authors here
As Confidence Aligns: Understanding the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making
2025-04-04 · 3 authors here
Recall, Robustness, and Lexicographic Evaluation
2025-02-26 · 9 authors here
LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval
2024-12-01 · 9 authors here
Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024
2024-11-08 · 3 authors here
A Comprehensive Systematic Scoping Review of Self-Driving Vehicle Models
2024-08-08 · 5 authors here
Arlo: Serving Transformer-based Language Models with Dynamic Input Lengths
2024-07-10 · 5 authors here
Synthetic Test Collections for Retrieval Evaluation
2024-07-10 · 5 authors here
ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval
2024-06-03 · 5 authors here
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
2024-06-03 · 3 authors here
A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers
2024-05-11 · 3 authors here
Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking
2024-05-11 · 7 authors here
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number