← Authors

Sravan Babu Bodapati

10 papers · 2024–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) πŸ’Ž Century Club (10) ⚑ Prolific Year (9)

Conferences

EMNLP (5) ACL (2) ICLR (2) AISTATS (1)

Top co-authors

Aram Galstyan (6) Saket Dingliwal (4) Bhavana Ganesh (4) Woomin Song (3) Jinwoo Shin (3) Ling Liu (2) Sai Muralidhar Jayanthi (2) Jongwoo Ko (2) Lei Xu (2) Daewon Choi (2)

Research topics

Optimization (1)

Keywords

large language model (4) speculative decoding (2) knowledge distillation (1) prompt engineering (1) responsible ai (1) efficient inference (1) evaluation framework (1) model pruning (1) gradient optimization (1) generative model (1) state space model (1) tree search (1) context length (1) weight pruning (1) token prediction (1) inference acceleration (1) cognitive bia (1) transformer optimization (1) linear attention (1) inference latency (1)

Papers

Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge ICLR 2025
Wanda++: Pruning Large Language Models via Regional Gradients ACL 2025
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment AISTATS 2025
Accelerated Test-Time Scaling with Model-Free Speculative Sampling EMNLP 2025
LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling EMNLP 2025
Mamba Drafters for Speculative Decoding EMNLP 2025
Think Clearly: Improving Reasoning via Redundant Token Pruning EMNLP 2025
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval EMNLP 2025
SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins ICLR 2025
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models ACL 2024