Estevam Hruschka
21 papers · 2011–2026 · 6 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (35) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (87)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(13)
Natural Language Processing
(13)
Core AI
(13)
Applications · Natural Language Processing
(9)
Machine Learning
(5)
Generation
(5)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Resources & Methods
(3)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Applications · Computer Science
(1)
Core Methods
(1)
Models
(1)
Keywords
large language model
(6)
sentiment analysis
(3)
named entity recognition
(2)
few-shot learning
(2)
hallucination detection
(2)
information extraction
(2)
entity extraction
(2)
text generation
(1)
interactive learning
(1)
benchmark evaluation
(1)
fact verification
(1)
mathematical reasoning
(1)
text mining
(1)
algorithmic fairness
(1)
bias detection
(1)
model robustness
(1)
preference optimization
(1)
instruction following
(1)
low-resource learning
(1)
information retrieval
(1)
Papers
A Dynamic Self-Evolving Extraction System
ACL 2026
From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models
ACL 2026
RECAP: REwriting Conversations for Intent Understanding in Agentic Planning
EACL 2026
Verification-Aware Planning for Multi-Agent Systems
EACL 2026
AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems
EMNLP 2025
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education
NAACL 2025
FactLens: Benchmarking Fine-Grained Fact Verification
ACL 2025
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
NAACL 2025
Mixed Signals: Decoding VLMs’ Reasoning and Underlying Bias in Vision-Language Conflict
EMNLP 2025
Multi-Conditional Ranking with Large Language Models
NAACL 2025
Natural Language Processing for Human Resources: A Survey
NAACL 2025
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
ACL 2024
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
NAACL 2024
Less is More for Long Document Summary Evaluation by LLMs
EACL 2024
Zero-shot Triplet Extraction by Template Infilling
IJCNLP 2023
Distilling Salient Reviews with Zero Labels
ACL 2022
Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text
NAACL 2022
Low-resource Interactive Active Labeling for Fine-tuning Language Models
EMNLP 2022
MEGAnno: Exploratory Labeling for NLP in Computational Notebooks
EMNLP 2022
Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble
SemEval 2014
Discovering Relations between Noun Categories
EMNLP 2011