Seer
PulseAugur coverage of Seer — every cluster mentioning Seer across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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New research explores methods to compress LLM reasoning traces for efficiency
Researchers are developing new methods to compress the intermediate reasoning steps of large language models, known as Chain-of-Thought (CoT), to reduce computational costs without sacrificing accuracy. One approach, Br…
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New frameworks predict ML model performance from data statistics
Researchers have developed new theoretical frameworks for predicting the performance of machine learning models. The first approach, the Hermite eigenstructure ansatz (HEA), uses raw data statistics to predict learning …
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New research explores advanced time series forecasting techniques
Recent research in time series forecasting explores novel architectures and methodologies. DiTS (Diffusion Transformers for Time Series) leverages multimodal diffusion transformers to incorporate exogenous information f…
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Sentry launches AI agent Seer for faster error troubleshooting
Sentry has launched Seer, an AI agent designed to assist users in diagnosing and resolving errors and performance issues more efficiently. This new tool aims to streamline the troubleshooting process by leveraging artif…
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SEER framework enhances LLM long-context reasoning with selective visual-text compression
Researchers have developed SEER, a novel framework designed to improve long-context reasoning in large language models by selectively compressing visual-textual information. Unlike previous methods that applied uniform …
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SEER interface boosts VLM spatial reasoning accuracy
Researchers have developed SEER, a novel inference-time interface designed to improve the spatial relation classification capabilities of frozen Vision-Language Models (VLMs). SEER explicitly constructs query-specific v…
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New SEER method uses ML to optimize energetic reasoning in constraint programming
Researchers have developed a novel approach called SEER, which utilizes supervised machine learning to optimize the use of energetic reasoning propagators in constraint programming. This method aims to balance the compu…
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New framework Seer accelerates DMLLMs by up to 31x via MLP sparsity
Researchers have developed a new framework called Seer that significantly accelerates the inference speed of Diffusion Multimodal Large Language Models (DMLLMs). By analyzing the MLP activation sparsity in the first den…
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New LLM predicts test failures with explainable behavior
Researchers have developed FOCAL, a new code LLM-based system designed to predict whether a given test prefix will pass or fail. Unlike methods that generate test assertions, FOCAL directly predicts test outcomes, empha…
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New LLM, HCC-STAR, improves cancer treatment recommendations
Researchers have developed HCC-STAR, a large language model designed to improve the precision of hepatocellular carcinoma (HCC) treatment. This model analyzes electronic medical records to provide risk stratification, e…
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Claude agent manages finances, trades, and bets with real capital
An autonomous AI agent, powered by Claude, is managing financial activities including trading on Kraken and betting on prediction markets via Gnosis and Seer. The agent's operations, which also involve earning passive i…
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SEER framework tackles noisy, missing, and shifted time series data
Researchers have introduced SEER, a Transformer-based framework designed to enhance time series forecasting robustness. SEER addresses common data quality issues such as noise, anomalies, missing values, and distributio…
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Seer model uses latent diffusion for efficient, language-instructed video prediction
Researchers have developed Seer, a novel model for text-conditioned video prediction designed to aid robots in planning and goal achievement. Seer leverages pretrained text-to-image diffusion models, adapting them for t…
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Online Survival Analysis: A Bandit Approach under Cox PH Model
Researchers have developed a novel bandit approach for online survival analysis, integrating the Cox proportional hazards model into sequential decision-making. This method addresses challenges like staggered entry, del…