Kamalika Das
16 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🌉
Interdisciplinary Bridge
🤝
Dynamic Duo
(12)
🗃️
Keyword Collector
(69)
❓
The Questioner
⚡
Prolific Year
(8)
💎
Century Club
(15)
Conferences
EMNLP (5)
ACL (4)
NAACL (2)
AAAI (1)
AISTATS (1)
EACL (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
large language model
(7)
question answering
(3)
prompt optimization
(3)
hallucination mitigation
(3)
in-context learning
(3)
text generation
(2)
uncertainty quantification
(2)
prompt engineering
(2)
retrieval-augmented generation
(2)
retrieval augmented generation
(2)
hallucination detection
(2)
image translation
(1)
domain adaptation
(1)
contrastive learning
(1)
knowledge distillation
(1)
few-shot learning
(1)
discrete optimization
(1)
feature representation
(1)
minimum description length
(1)
prototype learning
(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
The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
ACL 2025
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
ACL 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
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
EMNLP 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
EMNLP 2024
Customizing Language Model Responses with Contrastive In-Context Learning
AAAI 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
AISTATS 2024
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
EACL 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
EMNLP 2024
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models
EMNLP 2024
DECDM: Document Enhancement Using Cycle-Consistent Diffusion Models
WACV 2024
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
EMNLP 2023
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
NIPS 2023