class imbalance 1conformal prediction 1cost-sensitive learning 1human-in-the-loop 1uncertainty quantification 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Cost-Sensitive Conformal Prediction and Human-in-the-Loop Abstention for Imbalanced High-Stakes Decision Support: A Multi-Domain Benchmark
Manpreet Singh, Akshatha Srikantha, Shyamal Lakhanpal
The paper evaluates how conformal prediction methods can be made cost‑sensitive and reliable for rare, high‑cost classes in imbalanced, high‑stakes decision tasks, and shows that M…
cs.AI2026
TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment
Akshatha Srikantha, Manpreet Singh, Yash Jajoo +1
LLMs have evolved from basic chatbots to the backbone of the AI ecosystem, now widely used in healthcare, schools, and government services. The domain-wide adoption of LLMs necessi…