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ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition Mohammadreza Salehi Jae Sung Park
Each video in the dataset is paired with a question and four or five choices.
Aligning LLM Agents by Learning Latent Preference from User Edits Ge Gao Alexey T aymanov Eduardo Salinas Paul Mineiro Dipendra Misra Department of Computer Science, Cornell University
The inferred user preference descriptions are used to define prompts for generating responses in the future.
Prompt-AgnosticAdversarialPerturbationfor CustomizedDiffusionModels
Inthispaper,weintroduce aPrompt-Agnostic Adversarial Perturbation (PAP) method for customized diffusion models.
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
The current paradigm of evaluating Large Language Models (LLMs) through static benchmarks comes with significant limitations, such as vulnerability to data contamination and a lack of adaptability to the evolving capabilities of LLMs.
