Kamalika Das
16 papers · 2023–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (44) π€ Dynamic Duo (12) π Century Club Β· Bronze
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Prolific Year Β· Productive
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Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Natural Language Processing
(10)
Core AI
(10)
Learning Types Β· Machine Learning
(10)
Optimization & Theory
(7)
Resources & Methods
(7)
Deep Learning
(6)
Learning Types Β· Deep Learning
(4)
Applications
(3)
Generation
(3)
Models
(3)
Learning Paradigms
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Keywords
large language model
(7)
hallucination mitigation
(3)
question answering
(3)
prompt optimization
(3)
in-context learning
(3)
text generation
(2)
uncertainty quantification
(2)
prompt engineering
(2)
hallucination detection
(2)
retrieval-augmented generation
(2)
epistemic uncertainty
(1)
feature learning
(1)
image translation
(1)
ai safety
(1)
rule learning
(1)
domain adaptation
(1)
minimum description length
(1)
discrete optimization
(1)
knowledge distillation
(1)
feature representation
(1)
Papers
RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning
ACL 2026
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
NAACL 2025
Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey
ACL 2025
Learning to Search Effective Example Sequences for In-Context Learning
NAACL 2025
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
ACL 2025
The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
ACL 2025
Customizing Language Model Responses with Contrastive In-Context Learning
AAAI 2024
DECDM: Document Enhancement Using Cycle-Consistent Diffusion Models
WACV 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
AISTATS 2024
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models
EMNLP 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
EMNLP 2024
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
EACL 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
EMNLP 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
EMNLP 2024
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
NeurIPS 2023
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
EMNLP 2023