Low-rank adaptation, data augmentation, and chain-of-thought reasoning are among the techniques enabling accent-free polyglot outputs, improved expressiveness, and reliable synthesis.
By learning the idiosyncrasies of accumulated layers of legacy systems, AI agents can preserve institutional knowledge and provide a unified interface to a range of services.
As AI agents become more autonomous, the key challenge isn't what they can do; it's how to design the human side of the equation.
What machine learning theorists learned using AI agents to generate proofs — and what comes next.
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March 20, 202615 min readSimplifying and clarifying the assembly code for core operations enabled automated optimization and verification. -
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February 25, 202611 min read
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February 17, 20263 min read
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Now open across seven research areas, including Agentic AI and Robotics. Applicants receive unrestricted funds, AWS promotional credits, and training resources. Submission deadline is May 6
Hosted by Danielle Perszyk, cognitive scientist at Amazon's AGI Lab, the podcast features conversations with leading AI researchers about the breakthroughs needed to achieve general intelligence.
Challenge pushes teams to demonstrate measurable gains in secure-coding performance while building AI agents that advance real-world utility and reliability at scale.
Initiative will fund over 100 doctoral students researching machine learning, computer vision, and natural-language processing at nine universities.
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ACM Multimedia 20242024In this paper, we introduce a new challenging task called Zero-Shot Controllable Image-to-Video Animation, where the goal is to animate an image based on motion trajectories defined by the user, without fine-tuning the base model. Primary challenges include maintaining consistency of background, consistency of object in motion, faithfulness to the user-defined trajectory, and quality of motion animation
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Physical Review E2024A hypergraph is a generalization of a graph that arises naturally when attribute-sharing among entities is considered. Compared to graphs, hypergraphs have the distinct advantage that they contain explicit communities and are more convenient to manipulate. An open problem in hypergraph research is how to accurately and efficiently calculate node distances on hypergraphs. Estimating node distances enables
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MMSP 20242024In live video streaming, the size of manifest grows linearly as the overall time duration of manifest increases in many scenarios. Such a behavior exists across streaming technologies, e.g. Dynamic Adaptive Streaming through HTTP (DASH), HTTP Live Streaming (HLS) and Microsoft Smooth Streaming (MSS). It introduces significant overhead for manifest generation on cloud services, download latency and network
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KDD 2024 Workshop on GenAI Evaluation2024We present a novel approach to automatically generate task-specific synthetic datasets for hallucination detection. Our approach features a two-step generation-selection pipeline, where the generation step integrates a hallucination pattern guidance module and a language style alignment module. Hallucination pattern guidance makes it possible to curate synthetic datasets covering the most important hallucination
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MERLIN: Multimodal & multilingual embedding for recommendations at large-scale via item associations2024Product recommendations incentivize customers to make multiunit purchases by surfacing relevant products, leading to lower cost per unit for e-commerce stores and lower prices for their customers. However, the humongous scale of products, implicit co-purchase asymmetry and variation in co-purchase behavior across different categories, are orthogonal problems to solve. To address these problems, we propose
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