copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
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
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
Jonathan Gratch - OpenReview ACII 2021 CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems Kushal Chawla, Jaysa Ramirez, Rene Clever, Gale M Lucas, Jonathan May, Jonathan Gratch 2021 (modified: 04 Jan 2022) NAACL-HLT 2021 Towards Emotion-Aware Agents For Negotiation Dialogues Kushal Chawla, Rene Clever, Jaysa Ramirez, Gale M Lucas
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
Achieving Dimension-Free Communication in Federated Learning via. . . With small and clever modifications to the previous algorithm by Fang et al (2022), this research effectively reduces the per-iteration communication costs to a constant for each agent Supported by both theoretical and experimental evidence, this new method significantly outperforms FedAvg in terms of communications costs
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