TextQuests: How Good are LLMs at Text-Based Video Games?

How good are LLMs at fixing their mistakes? A chatbot arena experiment with Keras and TPUs

Introducing Agents.js: Give tools to your LLMs using JavaScript

LLMs help robots understand vague instructions and focus on key details

To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.

Judge Arena: Benchmarking LLMs as Evaluators

TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment

LLMs have evolved from basic chatbots to the backbone of the AI ecosystem, now widely used in healthcare, schools, and government services. The domain-wide adoption of LLMs necessitates continuous evaluation to ensure their safety and fairness.

Open-source LLMs as LangChain Agents

Open-Source Text Generation & LLM Ecosystem at Hugging Face

How Long Prompts Block Other Requests - Optimizing LLM Performance

Structured Feedback Improves Repair in an LLM Agent Loop

arXiv:2607. 14167v1 Announce Type: cross Abstract: LLM agents often retry after external validation rejects a candidate, but the interface between validation and the next model call remains underspecified.

TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment

arXiv:2606. 03036v1 Announce Type: new Abstract: LLMs have evolved from basic chatbots to the backbone of the AI ecosystem, now widely used in healthcare, schools, and government services.

Security and Privacy Prompts in the Wild: What Users Ask LLMs and How LLMs Respond

arXiv:2606. 18062v1 Announce Type: cross Abstract: Large language models (LLMs) are widely used to fulfill users' information needs; users ask LLMs about the weather, pose educational questions, and consult them for legal assistance.

Controlling Reasoning Effort in LLMs

How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes