Nutrition estimation is a fundamental task in consumer diet tracking, clinical dietetics, chronic disease management, sports and hospital nutrition, and broader food computing systems. The existing approaches have progressed along two largely separate axes, vision models that rely on calibrated RGB-depth captures and i...
Aman Kumar, Avinash Anand, Chaitanya Lakhchaura et al.· 0 citations
Can a strictly local, iterated, weight-shared computation primitive support language modelling, and which of those three properties actually drives the model's behaviour? We define \textsc{TextNCA}, a 1D causal windowed-attention realisation of the Neural Cellular Automaton primitive, and study a hierarchical variant t...
Avni Mittal, Avinash Anand, Ashutosh Kumar et al.· 0 citations
To solve LLM collaboration with non-language agents, latent state internalization is introduced, which projects the subagent's continuous representations directly into the LLM's token stream as learned state tokens, with dynamic re-encoding as actions advance the environment state.
The proposed InductWave, a wavelet-based inductive embedding method for logical query answering on large KGs, performs on par with the baseline models while having half the number of message-passing layers, and outperforms all of them in most cases.
Mayank Kharbanda, Michael Cochez, R. Shah et al.· arXiv.org· 0 citations
