8 citations · 9 across the 8 of their papers we have counts for
9 papers
GAR: Carbon-Aware Routing for LLM Inference via Constrained Optimization
Disha Sheshanarayana, Rajat Subhra Pal, Manjira Sinha +1
The growing deployment of large language models (LLMs) makes per-request routing essential for balancing response quality and computational cost across heterogeneous model pools. C…
Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
Disha Sheshanarayana, Rajat Subhra Pal, Manjira Sinha +1
Token-level Chain-of-Thought (CoT) prompting has become a standard way to elicit multi-step reasoning in large language models (LLMs), especially for mathematical word problems. Ho…
Decoding Plastic Toxicity: An Intelligent Framework for Conflict-Aware Relational Metapath Extraction from Scientific Abstracts
Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta
The widespread use of plastics and their persistence in the environment have led to the accumulation of micro- and nano-plastics across air, water, and soil, posing serious health…
StayLTC: A Cost-Effective Multimodal Framework for Hospital Length of Stay Forecasting
Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta
Accurate prediction of Length of Stay (LOS) in hospitals is crucial for improving healthcare services, resource management, and cost efficiency. This paper presents StayLTC, a mult…
Mapping Patient Trajectories: Understanding and Visualizing Sepsis Prognostic Pathways from Patients Clinical Narratives
Sudeshna Jana, Tirthankar Dasgupta, Lipika Dey
In recent years, healthcare professionals are increasingly emphasizing on personalized and evidence-based patient care through the exploration of prognostic pathways. To study this…
Optimizing Odia Braille Literacy: The Influence of Speed on Error Reduction and Enhanced Comprehension
Monnie Parida, Manjira Sinha, Anupam Basu +1
This study aims to conduct an extensive detailed analysis of the Odia Braille reading comprehension among students with visual disability. Specifically, the study explores their re…
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution
Priyanka Goyal, Sohan Patnaik, Adway Mitra +1
The accurate mapping of crop production is crucial for ensuring food security, effective resource management, and sustainable agricultural practices. One way to achieve this is by…
Pandemic and disability: Challenges faced and role of technology
Monnie Parida, Dr Manjira Sinha
The pandemic has affected every facet of human life. Apart from individuals psychological and mental health issues, the concern regarding mobility, access and communication with hi…
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection
Shashank Gupta, Raghuveer Thirukovalluru, Manjira Sinha +1
Detecting whether a news article is fake or genuine is a crucial task in today's digital world where it's easy to create and spread a misleading news article. This is especially tr…