22 citations · 31 across the 10 of their papers we have counts for
4 papers · 1 filter
Whose turn is it? Context-guided model routing for stateful agents
Anikesh Parashar, Avik Dutta, Vashu Chauhan +6
Model routing can reduce the cost of LLM applications by assigning simpler requests to cheaper models without sacrificing the quality of the response. However, most routers treat r…
An Empirical Investigation of Robustness in Large Language Models under Tabular Distortions
Avik Dutta, Harshit Nigam, Hosein Hasanbeig +2
We investigate how large language models (LLMs) fail when tabular data in an otherwise canonical representation is subjected to semantic and structural distortions. Our findings re…
Are LLMs Good Cryptic Crossword Solvers?
Abdelrahman Sadallah, Daria Kotova, Ekaterina Kochmar
Cryptic crosswords are puzzles that rely not only on general knowledge but also on the solver's ability to manipulate language on different levels and deal with various types of wo…
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira +5
Recently an influx of studies claim emergent cognitive abilities in large language models (LLMs). Yet, most rely on anecdotes, overlook contamination of training sets, or lack syst…