2 papers
cs.CL2026
Looking Again: Measuring Sycophancy in the Reasoning Chains of Multimodal Models Under Pressure
Mahir Numayeer Islam, Gakuto Okuyama, Nikolaus Siauw +3
Large multimodal reasoning models (LMRMs) are getting increasingly capable, primarily through generating explicit chain-of-thought reasoning before answering. In language models it…
cs.CL2020
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
Madhur Panwar, Shashank Shailabh, Milan Aggarwal +1
Topic models have been widely used to learn text representations and gain insight into document corpora. To perform topic discovery, most existing neural models either take documen…