Can Coding Agents Improve Themselves? Researchers from University of Bristol and iGent AI Propose SICA (Self-Improving Coding Agent) that Iteratively Enhances Its Own Code and Performance
The development of agentic systems—LLMs embedded within scaffolds capable of tool use and autonomous decision-making—has made significant progress. Yet, most implementations today rely on fixed, hand-crafted orchestration strategies. These designs…
Reinforcement Learning for Email Agents: OpenPipe’s ART·E Outperforms o3 in Accuracy, Latency, and Cost
OpenPipe has introduced ART·E (Autonomous Retrieval Tool for Email), an open-source research agent designed to answer user questions based on inbox contents with a focus on accuracy, responsiveness, and computational…
How to Create a Custom Model Context Protocol (MCP) Client Using Gemini
In this tutorial, we will be implementing a custom Model Context Protocol (MCP) Client using Gemini. By the end of this tutorial, you will be able to connect your own…
UniME: A Two-Stage Framework for Enhancing Multimodal Representation Learning with MLLMs
The CLIP framework has become foundational in multimodal representation learning, particularly for tasks such as image-text retrieval. However, it faces several limitations: a strict 77-token cap on text input, a…
ThinkPRM: A Generative Process Reward Models for Scalable Reasoning Verification
Reasoning with LLMs can benefit from utilizing more test compute, which depends on high-quality process reward models (PRMs) to select promising paths for search or ranking. PRMs score problem-solution pairs…
A Coding Guide to Different Function Calling Methods to Create Real-Time, Tool-Enabled Conversational AI Agents
Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply generating text, the model decides when to invoke a predefined…
The WAVLab Team is Releases of VERSA: A Comprehensive and Versatile Evaluation Toolkit for Assessing Speech, Audio, and Music Signals
AI models have made remarkable strides in generating speech, music, and other forms of audio content, expanding possibilities across communication, entertainment, and human-computer interaction. The ability to create human-like audio…
Alibaba Qwen Team Just Released Qwen3: The Latest Generation of Large Language Models in Qwen Series, Offering a Comprehensive Suite of Dense and Mixture-of-Experts (MoE) Models
Despite the remarkable progress in large language models (LLMs), critical challenges remain. Many models exhibit limitations in nuanced reasoning, multilingual proficiency, and computational efficiency. Often, models are either highly capable…
ViSMaP: Unsupervised Summarization of Hour-Long Videos Using Meta-Prompting and Short-Form Datasets
Video captioning models are typically trained on datasets consisting of short videos, usually under three minutes in length, paired with corresponding captions. While this enables them to describe basic actions…
Devin AI Introduces DeepWiki: A New AI-Powered Interface to Understand GitHub Repositories
Devin AI recently introduced DeepWiki, a free tool that automatically generates structured, wiki-style documentation for any GitHub repository. Built using their in-house DeepResearch agent, DeepWiki aims to simplify the process…









