Tejaswini Pedapati

14 papers · 2020–2026 · 7 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🏃 Academic Marathon (5) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (14)

🌈 Renaissance Researcher (5) 🗺️ Taxonomy Completionist (28) 🧭 Keyword Pioneer 👥 Mega-Team (22) 🏆 Grand Slam 💎 Century Club (12) ⚡ Prolific Year (7) 🗃️ Keyword Collector (60)

Conferences

ACL (4) AAAI (3) NAACL (2) NIPS (2) ICLR (1) ICML (1) IJCAI (1)

Top co-authors

Pin-Yu Chen (5) Subhajit Chaudhury (4) Elizabeth M. Daly (3) Ching-Yun Ko (3) Amit Dhurandhar (3) Payel Das (3) Georgios Kollias (3) Dennis Wei (2) Michael Desmond (2) Inge Vejsbjerg (2)

Keywords

large language model (4) hyperparameter optimization (2) neural network (2) model compression (2) natural language processing (1) text classification (1) image classification (1) question answering (1) model selection (1) text generation (1) neural architecture search (1) model merging (1) responsible ai (1) feature attribution (1) neural network optimization (1) prompt learning (1) efficient inference (1) ai safety (1) episodic memory (1) attention mechanism (1)

Papers

AI Steerability 360: A Toolkit for Steering Large Language Models ACL 2026 ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval ACL 2026 EvalAssist: LLM-as-a-Judge Simplified AAAI 2025 Large Language Models can Become Strong Self-Detoxifiers ICLR 2025 From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025 EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts ACL 2025 Differentiable Prompt Learning for Vision Language Models IJCAI 2025 STAR: Spectral Truncation and Rescale for Model Merging NAACL 2025 Granite Guardian: Comprehensive LLM Safeguarding NAACL 2025 NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models ACL 2024 CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions NIPS 2021 AutoText: An End-to-End AutoAI Framework for Text AAAI 2021 Learning Global Transparent Models consistent with Local Contrastive Explanations NIPS 2020 Learning to Rank Learning Curves ICML 2020