17 results for "line of control"
Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines
LLM-as-a-Judge has become the dominant paradigm for evaluating language model outputs, yet LLM judges exhibit systematic biases that compromise evaluation reliability. We present a comprehensive empir…
Microsoft Office can now be controlled with Logitech’s MX Creative Console
Logitech has announced a new suite of Productivity Plugins for its entire MX line of accessories, including its Stream Deck alternative, the MX Creative Console. Since the console launched in Septembe…
🚀Pocket LLM v1.5.0 is out: offline Android LLM chat with voice, image input, OCR, and camera capture
Pocket LLM v1.5.0🚀 New in this release: - 🎙️ Voice input - 🖼️ Image input with OCR, Gemma vision, and FastVLM support - 📷 Camera capture with retake, crop, and photo review - 🗂️ Previous chats si…
LLM-Augmented Traffic Signal Control with LSTM-Based Traffic State Prediction and Safety-Constrained Decision Support
Traffic signal control is a critical task in intelligent transportation systems, yet conventional fixed-time and rule-based methods often struggle to adapt to dynamic traffic demand and provide limite…
'We need to deliver warfighting capability at a faster rate': US Space Force cancels Next Generation GPS project over 'extensive system issues' and an 'insurmountable' timeline
After years of delays and billions spent, Space Force abandons troubled GPS control system that never worked as intended…
How a surgeon kept a Sudan hospital functioning on the war’s front line
Dr. Jamal Eltaeb was leading Al Nao hospital in Omdurman, just outside the capital, Khartoum, as control of the urban area shifted between Sudan’s army and paramilitary fighters…
SemML 2.0: Synthesizing Controllers for LTL
Synthesizing a reactive system from specifications given in linear temporal logic (LTL) is a classical problem, finding its applications in safety-critical systems design. These systems are typically …
Google Home makes it easier to understand why devices aren’t working
Thanks to Google Home's latest update, users may be able to get offline devices working again with less troubleshooting. Now, whenever a device goes offline, users may get "instant account-relinking p…
AI prefers resumes written by itself: Self-preferencing in Algorithmic Hiring
As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderatio…
Hansi Flick one step away from breaking his own Barcelona record
Barcelona are rapidly approaching the finish line in the La Liga title race, with their latest run of results placing them firmly in control. Beyond the title itself, though, there is another interes.…
Towards Causally Interpretable Wi-Fi CSI-Based Human Activity Recognition with Discrete Latent Compression and LTL Rule Extraction
We address Human Activity Recognition (HAR) utilizing Wi-Fi Channel State Information (CSI) under the joint requirements of causal interpretability, symbolic controllability, and direct operation on h…
Don't Make the LLM Read the Graph: Make the Graph Think
We investigate whether explicit belief graphs improve LLM performance in cooperative multi-agent reasoning. Through 3,000+ controlled trials across four LLM families in the cooperative card game Hanab…
Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach
Automatically generating formal ontologies from unstructured natural language remains a central challenge in knowledge engineering. While large language models (LLMs) show promise, it remains unclear …
When AI reviews science: Can we trust the referee?
The volume of scientific submissions continues to climb, outpacing the capacity of qualified human referees and stretching editorial timelines. At the same time, modern large language models (LLMs) of…
STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator
The increasing reliance on Large Language Models (LLMs) across diverse sectors highlights the need for robust domain-specific and language-specific evaluation datasets; however, the collection of such…
Hierarchical Behaviour Spaces
Recent work in hierarchical reinforcement learning has shown success in scaling to billions of timesteps when learning over a set of predefined option reward functions. We show that, instead of using …
Watching TV with the Second-Party
Smart TVs implement a unique tracking approach called Automatic Content Recognition (ACR) to profile viewing activity of their users. ACR is a Shazam-like technology that works by periodically capturi…