Yara Rizk
7 papers · 2023–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
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The Questioner
(2)
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(5)
Natural Language Processing
(5)
Learning Types · Machine Learning
(4)
Resources & Methods
(4)
Deep Learning
(2)
Generation
(2)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
large language model
(4)
prompt engineering
(3)
tool use
(2)
autonomous agent
(2)
function calling
(2)
confidence estimation
(1)
agent system
(1)
dialogue evaluation
(1)
intent recognition
(1)
similarity metric
(1)
llm agent
(1)
slot filling
(1)
task-oriented dialog
(1)
tool calling
(1)
knowledge worker
(1)
external tool
(1)
prompt brittleness
(1)
api call
(1)
tool composition
(1)
personal assistant
(1)
Papers
How Good Are LLMs at Processing Tool Outputs?
EACL 2026
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
EMNLP 2025
Towards LLMs Robustness to Changes in Prompt Format Styles
NAACL 2025
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
EMNLP 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
AAAI 2024
TaskDiff: A Similarity Metric for Task-Oriented Conversations
EMNLP 2023
Towards large language model-based personal agents in the enterprise: Current trends and open problems
EMNLP 2023