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PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents
Researchers have introduced PolyWorkBench, a benchmark designed to evaluate the performance of large language model agents on long-horizon tasks in multilingual environments.
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RetailBench: Evaluating Long-Horizon Autonomous Decision-Making and Strategy Stability of LLM Agents in Realistic Retail Environments
Researchers have introduced RetailBench, a simulation benchmark designed to evaluate the long-horizon decision-making and strategic stability of language model agents in a virtual retail environment.
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When Thinking Hurts: Epistemic Signals in the Reasoning Chains of Visual Language Models
An empirical study of reasoning-capable vision-language models reveals distinct patterns in how their internal uncertainty behaves during multi-step thinking processes.
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Multi-Agent Firewall Architecture for Privacy Protection of Sensitive Data in Interactions with Language Models
A new open-source multi-agent firewall architecture secures user interactions with large language models by intercepting and filtering sensitive data across web and programmatic traffic.
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Native-speed vLLM transformers modeling backend
Hugging Face has introduced a native-speed vLLM backend for transformers to optimize and accelerate large language model serving.
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Global Stack pitches Edge data center at rodeo-focused indoor arena in California
Global Stack is proposing to build an edge data center at an indoor rodeo arena in California following a previous setback in Calistoga.
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Japan's At Tokyo plans data center in Nagoya
Japanese data center provider At Tokyo has announced plans to open a new facility in Nagoya next year.
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Helping K–12 educators build practical AI skills
OpenAI Academy has partnered with the Walton Family Foundation to launch interactive training sessions aimed at helping primary and secondary school educators integrate artificial intelligence skills into their classrooms.
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Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems
The paper introduces a method for identifying and localizing failures within complex, multi-agent systems powered by large language models.
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Collective Intelligence with Foundation Models
This paper outlines a multi-agent framework that coordinates solver, critic, and aggregator foundation models to build more reliable cooperative reasoning systems.
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China’s circuit-board makers push capex towards record to feed AI boom
Chinese printed circuit board manufacturers are significantly increasing capital expenditure and expanding factory capacity to meet surging global demand driven by the artificial intelligence boom.
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Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination
Researchers introduced G-Frame, a multi-agent framework based on game theory principles designed to reduce hallucinations in lightweight language models applied to scientific domains.
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MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters
MentalHospital is a virtual simulation environment designed to evaluate how effectively large language models handle complete psychiatric clinical encounters.
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How to Leverage Synthetic Speech for LLM-Based ASR Systems?
The paper explores methods to effectively utilize synthetic speech generated by text-to-speech systems to train automatic speech recognition models in privacy-restricted domains.
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DeepTutor: Towards Agentic Personalized Tutoring
DeepTutor is an open-source agentic framework that combines citation-grounded tutoring with calibrated feedback to personalize educational interactions.
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From Prompts to Contracts: Harness Engineering for Auditable Enterprise LLM Agents
The paper introduces a harness-engineering architecture designed to make enterprise large language model agents more traceable, deterministic, and auditable.
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Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language Models
Researchers proposed an SVD-based vision token pruning method to reduce the computational and memory overhead of processing long sequences in Vision-Language Models.
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ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair
The paper introduces ContextSniper, a token-efficient code memory module designed to select precise evidence for repository-level program repair using language model agents.
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SLORR: Simple and Efficient In-Training Low-Rank Regularization
Researchers developed SLORR, an in-training low-rank regularization method designed to make neural networks more compressible without requiring complex matrix decompositions.
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From Legacy Documentation to OSCAL: An MCP-Based Agent Pipeline for Threat-Informed Continuous Compliance in Critical Infrastructure
Researchers developed a multi-agent pipeline based on the Model Context Protocol to convert natural-language documentation into standardized formats for continuous compliance in critical infrastructure.
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‘Token economy’ emerging as AI use soars in China, experts tell conference
Industry experts in China report that the rapid adoption of artificial intelligence is driving the emergence of a token-based economy for pricing and delivering digital services.
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一群做自动驾驶的人，盯上了睡眠这件事
Former autonomous driving engineers are applying closed-loop data systems to develop smart sleep technology for bedrooms.
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好上好：上半年净利润同比预增301.65%—376.03%
Electronic components distributor Hottech predicted its net profit for the first half of 2026 would rise by up to 376.03% year-on-year.
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《扩大消费“十五五”规划》：优化入境消费环境，稳步扩大免签国家范围
China's State Council has approved the 15th Five-Year Plan for Expanding Consumption, which outlines measures to boost inbound tourism and expand visa-free entry.