Education
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
Despite its importance, the vision-language connector has been relatively less explored.
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
There are two updating strategies: 1) mimicking strategy to generate similar samples based on original data, preserving stylistic and contextual essence, and 2) extending strategy that further expands existing samples at varying cognitive levels by adapting Bloom's taxonomy of educational objectives.
A Scalable Module for Solving Top-k Problems
The cost of ranking becomes significant in the new stage of deep learning.
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection Xiao Y u 1,2, Y uang Qi
Consequently, detecting whether a text is generated by LLMs has become increasingly important.
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery Alex Rutherford Michael Beukman Timon Willi Bruno Lacerda Nick Hawes Jakob Foerster University of Oxford
Put differently, current methods fail to predict intuitive measures of "learnability."
Embedding-Aligned Language Models Guy Tennenholtz
In this paper, we present a novel framework which accomplishes this by exploiting latent embedding spaces to define an objective function for an LLM in an iterative RL-driven process. As an example, consider the challenge of assisting content creators in generating valuable content within a recommender ecosystem (e.g., Y ouTube, Reddit, Spotify) [Boutilier et al., 2024].