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Secure Inference for Diffusion Models via Unconditional Scores As diffusion model-based services expand across various domains, safeguarding client data privacy has become increasingly critical While fully homomorphic encryption and secure multi-party
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human . . . Abstract Mastering fine-grained visual recognition, essential in many expert domains, can re-quire that specialists undergo years of dedicated training Modeling the progression of such expertize in humans remains challenging, and accurately inferring a human learner’s knowledge state is a key step toward understanding visual learning We introduce CleverBirds, a large-scale knowledge
Label-free GUI Grounding via Confidence-guided Negative. . . Graphical User Interface (GUI) grounding maps natural language instructions to precise interface locations for autonomous interaction Current supervised fine-tuning and reinforcement learning
Language Models as Implicit Tree Search | OpenReview The second AI acts like a clever "thinking coach," guiding the first one to explore ideas and find smart solutions, similar to how a chess AI master plans moves, but without the usual complex training steps This teamwork means AI can become both a better listener (understanding our preferences) and a sharper thinker (solving difficult problems)
Anchor Frame Bridging for Coherent First-Last Frame Video Generation According to the following review comments, our proposed Anchor Frame Bridging (AFB) holds significant potential implications for First-Last Frame Video Generation (FLF2V) in the context of controllable video generation: The work demonstrates significant novelty and practicality (All Reviewers) The proposed methodology is praised as "novel and clever", an "elegant, non-trivial solution", an
Sparse but Critical: A Token-Level Analysis of Distributional. . . Main claims of the paper are supported, but the execution of experiments might be significantly strenghtened further (see weaknesses) S2 Experiments with cross-sampling and advantage reweighting are interesting and clever and seem to be a promising analysis toolkit; however, see W3 and W4
SANA 1. 5: Efficient Scaling of Training-Time and Inference-Time. . . A clever sampling trick that lets smaller models temporarily boost their capabilities These innovations allow SANA-1 5 to match or exceed the performance of systems like Stable Diffusion XL while being more accessible
TRANSFORMERS CAN NAVIGATE MAZES WITH MULTI-STEP PREDICTION en prediction objectives for basic graph navigation tasks In particular, 114 the work identifies a Clever-Hans cheat based on shortcuts in teacher forced training similar to theo- 15 retical shortcomings identified in Wang et al (2024b) This demonstrates that while transformers can 116 represent world states for mazes, they ma