2 papers
cs.CL2026
Emergent retokenization symmetry in large language models: phenomenology and applications
Kanishk Jain, Matthew Day, Tankut Can
Tokenization introduces representational redundancy: under a fixed token vocabulary, every byte string admits many valid token encodings, or segmentations, that decode to the same…
cs.CV2026
Discovering Failure Modes in Vision-Language Models using RL
Kanishk Jain, Qian Yang, Shravan Nayak +3
Vision-language Models (VLMs), despite achieving strong performance on multimodal benchmarks, often misinterpret straightforward visual concepts that humans identify effortlessly,…