Weekly Reads

Tango: Taming Visual Signals for Efficient Video Large Language Models — Shukang Yin, Sirui Zhao et al.
Token pruning has emerged as a mainstream approach for developing efficient Video Large Language Models (Video LLMs). This work revisits and advanc...
Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism — Hadas Orgad, Boyi Wei et al.
Large language models (LLMs) undergo alignment training to avoid harmful behaviors, yet the resulting safeguards remain brittle: jailbreaks routine...
ANTIC: Adaptive Neural Temporal In-situ Compressor — Sandeep S. Cranganore, Andrei Bodnar et al.
The persistent storage requirements for high-resolution, spatiotemporally evolving fields governed by large-scale and high-dimensional partial diff...
Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision — Soroosh Tayebi Arasteh, Mehdi Joodaki et al.
Evidence-grounded reasoning requires more than attaching retrieved text to a prediction: a model should make decisions that depend on whether the p...
EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks — Lulin Liu, Dayou Li et al.
Large foundation models have made significant advances in embodied intelligence, enabling synthesis and reasoning over egocentric input for househo...

Research with ChatGPT — OpenAI Blog
Learn how to research with ChatGPT using search and deep research to find up-to-date information, analyze sources, and generate structured insights.
ChatGPT for finance teams — OpenAI Blog
Learn how finance teams use ChatGPT to streamline reporting, analyze data, improve forecasts, and communicate insights more clearly.
ChatGPT for research — OpenAI Blog
Learn how to use ChatGPT for research to gather sources, analyze information, and create structured, citation-backed insights.