1 citations · 1 across the 5 of their papers we have counts for
5 papers
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
A Systematic Survey of Agentic Skills: Architecture, Lifecycle, and Security
Sanket Badhe, Deep Shah, Priyanka Tiwari +1
Autonomous large language model (LLM) agents increasingly face reliability, context consumption, and execution stability bottlenecks when deployed on complex, long-horizon tasks. W…
CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization
Deep Shah, Sanket Badhe, Nehal Kathrotia +1
Large Language Models utilizing reasoning techniques improve task performance but incur significant latency and token costs due to verbose generation. Existing automatic prompt opt…
Long-Tail Knowledge in Large Language Models: Taxonomy, Mechanisms, Interventions and Implications
Sanket Badhe, Deep Shah, Nehal Kathrotia
Large language models (LLMs) are trained on web-scale corpora that exhibit steep power-law distributions, in which the distribution of knowledge is highly long-tailed, with most ap…
Taxonomy of the Retrieval System Framework: Pitfalls and Paradigms
Deep Shah, Sanket Badhe, Nehal Kathrotia
Designing an embedding retrieval system requires navigating a complex design space of conflicting trade-offs between efficiency and effectiveness. This work structures these decisi…