Research AI Tools

arXiv paper on distilling multi-agent debate into a single LLM with a two-stage fine-tuning pipeline. The abstract reports lower token use, comparable or better benchmark performance, and an analysis of agent-specific activation subspaces, with code linked from the page.

A research hub for the paper and survey "Toward Efficient Agents: A Survey of Memory, Tool learning, and Planning," with organized paper navigation across memory, tool learning, and planning topics.

MIT’s report on how generative AI is changing teaching, learning, assessment, and research training, with guiding principles and recommendations for instructors and the administration.

Ceptile is an AI-powered web search and conversational research product with live web results, verifiable source citations, and a demo video on the homepage.

arXiv paper on how ideas and goals can spread through multi-agent LLM systems, including experiments on propagation, susceptibility factors, and mitigation.

A Zenodo preprint reporting a 12,160-trial black-box evaluation of GPT-5.4 outputs under two prompt conditions, with detailed token-ceiling sweeps, control/ablation trials, and hash-chained verification.

arXiv paper on self-speculating LLM agents that predict their next tool call to hide tool latency and improve next-call Hit@1 while preserving task success.

Google Research paper describing a deployed multimodal defense system for detecting coordinated synthetic spam and abusive media at scale, using account relatedness, synthetic content classification, and LoRA-tuned LLMs.

An arXiv paper on reducing LLM inference cost for web automation by compiling browser tasks into a deterministic JSON workflow and executing them without repeated model calls.

A Hugging Face paper page describing a memory layer for LLMs that stores KV state to encrypted NVMe and reloads it later without recomputing, with results from 50M-token experiments on Gemma models.

arXiv paper proposing MANTA, a framework that lets multi-agent communication structures adapt at inference time based on collaboration traces and task needs.