Ahmed Abbasi
13 papers · 2021–2026 · 3 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
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (38) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
β‘
Prolific Year Β· Productive
β
The Questioner
(2)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(76)
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Core AI
(10)
Deep Learning
(6)
Natural Language Processing
(6)
Application Areas
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Resources & Methods
(4)
Applications
(3)
Core Methods
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Models
(2)
Optimization & Theory
(2)
Keywords
large language model
(5)
fairness evaluation
(3)
bias mitigation
(2)
prompt engineering
(2)
model fairness
(2)
masked language model
(2)
representation learning
(2)
text classification
(1)
domain adaptation
(1)
contrastive learning
(1)
lexical semantics
(1)
text representation
(1)
pseudo labeling
(1)
model safety
(1)
few-shot learning
(1)
hidden state
(1)
user modeling
(1)
in-context learning
(1)
associative learning
(1)
instruction tuning
(1)
Papers
Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks
ACL 2026
Dash-M5H: An Interactive Dashboard for Multi-Modal, Multi-Model Mental Health Assessment
ACL 2026
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
NAACL 2025
Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring
ACL 2025
No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks
NAACL 2025
PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins
ACL 2025
Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context
EMNLP 2025
Textagon: Boosting Language Models with Theory-guided Parallel Representations
ACL 2025
Exploring the Relationship between In-Context Learning and Instruction Tuning
EMNLP 2024
Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts
ACL 2022
BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection
EMNLP 2022
Benchmarking Intersectional Biases in NLP
NAACL 2022
Constructing a Psychometric Testbed for Fair Natural Language Processing
EMNLP 2021