6 citations · 8 across the 8 of their papers we have counts for
10 papers
Beyond Calibration: Temporal LLM Confidence Assessment Across Languages and Local Settings
Sahil Kale
Large language models are expected to estimate their own uncertainty, with confidence signals used to guide retrieval, adaptive compute allocation, routing, and selective abstentio…
ConceptGuard: Benchmarking Context-Sensitive Unlearning in Large Language Models
Sahil Kale, Ian Harris
Large Language Models (LLMs) often require selective removal of harmful or sensitive knowledge, called unlearning, yet existing benchmarks evaluate this capability incompletely. Th…
Future Confidence Distillation in Large Language Models
Sahil Kale
Reliable confidence estimation is essential for deploying large language models (LLMs) in confidence-aware systems, where downstream decisions such as retrieval, tool use, and adap…
Lie to Me: Knowledge Graphs for Robust Hallucination Self-Detection in LLMs
Sahil Kale, Antonio Luca Alfeo
Hallucinations, the generation of apparently convincing yet false statements, remain a major barrier to the safe deployment of LLMs. Building on the strong performance of self-dete…
Look It Up: Analysing Internal Web Search Capabilities of Modern LLMs
Sahil Kale
Modern large language models increasingly integrate internal web-based retrieval to provide real-time answers, yet it remains unclear how effectively these systems identify informa…
TeXpert: A Multi-Level Benchmark for Evaluating LaTeX Code Generation by LLMs
Sahil Kale, Vijaykant Nadadur
LaTeX's precision and flexibility in typesetting have made it the gold standard for the preparation of scientific documentation. Large Language Models (LLMs) present a promising op…
Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge
Sahil Kale
When artificial intelligence mistakes memorization for intelligence, it creates a dangerous mirage of reasoning. Existing studies treat memorization and self-knowledge deficits in…
Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries
Sahil Kale, Vijaykant Nadadur
As LLMs grow more powerful, their most profound achievement may be recognising when to say "I don't know". Existing studies on LLM self-knowledge have been largely constrained by h…
A Modern Approach to Electoral Delimitation using the Quadtree Data Structure
Sahil Kale, Gautam Khaire, Jay Patankar +1
The boundaries of electoral constituencies for assembly and parliamentary seats are drafted using a process referred to as delimitation, which ensures fair and equal representation…
FAQ-Gen: An automated system to generate domain-specific FAQs to aid content comprehension
Sahil Kale, Gautam Khaire, Jay Patankar
Frequently Asked Questions (FAQs) refer to the most common inquiries about specific content. They serve as content comprehension aids by simplifying topics and enhancing understand…