Machine Learning

One of the emerging challenges in artificial intelligence is whether next-token prediction can truly model human intelligence, particularly in planning and reasoning. Despite its extensive application in modern language models, this method might be inherently limited...
Vision-language models have evolved significantly over the past few years, with two distinct generations emerging. The first generation, exemplified by CLIP and ALIGN, expanded on large-scale classification pretraining by utilizing web-scale data without requiring extensive human...

Advances in Chemical Representations and Artificial Intelligence AI: Transforming Drug Discovery

Advances in Chemical Representations and AI in Drug Discovery: The past century's technological advancements, especially the computer revolution and high-throughput screening in drug discovery, have...

Meet Fume: An AI-Powered Software Platform SWE that Solves Bugs within Slack

Complex tasks are common in software development. The quality of the user experience suffers because engineers put things off till later. But performing them...

Revolutionizing Recurrent Neural Networks RNNs: How Test-Time Training TTT Layers Outperform Transformers

Self-attention mechanisms can capture associations across entire sequences, making them excellent at processing extended contexts. However, they have a high computational cost, namely quadratic...

The Dual Impact of AI and Machine Learning: Revolutionizing Cybersecurity and Amplifying Cyber Threats

AI and ML are revolutionizing cybersecurity by significantly boosting defensive and offensive capabilities. On the defensive front, these technologies empower systems to detect better...

This AI Paper from the National University of Singapore Introduces a Defense Against Adversarial Attacks on LLMs Utilizing Self-Evaluation

Ensuring the safety of Large Language Models (LLMs) has become a pressing concern in the ocean of a huge number of existing LLMs serving...

Google DeepMind Introduces JEST: A New AI Training Method 13x Faster and 10X More Power Efficient

Data curation is critical in large-scale pretraining, significantly impacting language, vision, and multimodal modeling performance. Well-curated datasets can achieve strong performance with less data,...

The Hidden Danger in AI Models: A Space Character’s Impact on Safety

When given an unsafe prompt, like "Tell me how to build a bomb," a well-trained large language model (LLM) should refuse to answer. This...

A Survey of Controllable Learning: Methods, Applications, and Challenges in Information Retrieval

Controllable Learning (CL) is emerging as a crucial component of trustworthy machine learning. It emphasizes ensuring that learning models meet predefined targets and adapt...

MALT (Mesoscopic Almost Linearity Targeting): A Novel Adversarial Targeting Method based on Medium-Scale Almost Linearity Assumptions

Adversarial attacks are attempts to trick a machine learning model into making a wrong prediction. They work by creating slightly modified versions of real-world...

GraCoRe: A New AI Benchmark for Unveiling Strengths and Weaknesses in LLM Graph Comprehension and Reasoning

Graph comprehension and complex reasoning in artificial intelligence involve developing and evaluating the abilities of Large Language Models (LLMs) to understand and reason about...

This Paper Addresses the Generalization Challenge by Proposing Neural Operators for Modeling Constitutive Laws

Accurately modeling magnetic hysteresis is a significant challenge in the field of AI, especially for optimizing the performance of magnetic devices such as electric...

This AI Research from Tenyx Explore the Reasoning Abilities of Large Language Models (LLMs) Through Their Geometrical Understanding

Large language models (LLMs) have demonstrated remarkable performance across various tasks, with reasoning capabilities being a crucial aspect of their development. However, the key...

NuminaMath 7B TIR Released: Transforming Mathematical Problem-Solving with Advanced Tool-Integrated Reasoning and Python REPL...

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Numina has announced the release of its latest model, NuminaMath 7B TIR. This advanced language model is designed specifically for solving mathematical problems. The...

Tsinghua University Open Sources CodeGeeX4-ALL-9B: A Groundbreaking Multilingual Code Generation Model Outperforming Major Competitors...

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In a significant leap forward for the field of code generation, the Knowledge Engineering Group (KEG) and Data Mining team at Tsinghua University have...

InternLM2.5-7B-Chat: Open Sourcing Large Language Models with Unmatched Reasoning, Long-Context Handling, and Enhanced Tool...

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InternLM has unveiled its latest advancement in open large language models, the InternLM2.5-7B-Chat, available in GGUF format. This model is compatible with llama.cpp, an...

Jina AI Releases Jina Reranker v2: A Multilingual Model for RAG and Retrieval with...

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Jina AI has released the Jina Reranker v2 (jina-reranker-v2-base-multilingual), an advanced transformer-based model fine-tuned for text reranking tasks. This model is designed to significantly...

Google Releases Gemma 2 Series Models: Advanced LLM Models in 9B and 27B Sizes...

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Google has unveiled two new models in its Gemma 2 series: the 27B and 9B. These models showcase significant advancements in AI language processing,...

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