Mohammad Kachuee
13 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (6) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (28)
πΊοΈ
Taxonomy Completionist
(28)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π₯
Unstoppable
(5)
β
The Questioner
ποΈ
Keyword Collector
(61)
π
Century Club
(12)
Conferences
ACL (4)
NAACL (4)
EACL (2)
COLING (1)
EMNLP (1)
ICLR (1)
Top co-authors
Research topics
Keywords
large language model
(6)
conversational ai
(3)
off-policy evaluation
(2)
contrastive learning
(2)
in-context learning
(2)
transfer learning
(2)
knowledge extraction
(1)
question answering
(1)
policy gradient
(1)
supervised fine-tuning
(1)
knowledge distillation
(1)
policy learning
(1)
task-oriented dialogue
(1)
policy improvement
(1)
safe reinforcement learning
(1)
off-policy reinforcement learning
(1)
contextual bandit
(1)
imbalanced learning
(1)
self-supervised learning
(1)
domain adaptation
(1)
Papers
Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?
EACL 2026
PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
EMNLP 2025
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
COLING 2025
Planning and Editing What You Retrieve for Enhanced Tool Learning
NAACL 2024
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
NAACL 2024
GrounDial: Human-norm Grounded Safe Dialog Response Generation
EACL 2024
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs
ACL 2024
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems
ACL 2023
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems
ACL 2023
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems
NAACL 2022
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data
ACL 2022
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents
NAACL 2021
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
ICLR 2019