10
两市融资余额减少285.86亿元
The total margin financing balance in the Chinese stock market saw a notable decrease as of July 16.
10
18家公募接连上报，首批主动ETF渐行渐近
Eighteen Chinese fund management companies have submitted applications to launch the first batch of active ETFs, marking a significant innovation in the local public fund market.
10
中信建投：解锁不可成药靶点，RAS药物打开肿瘤治疗新格局
Advancements in RAS-targeted therapies are opening new pathways for treating previously undruggable cancer targets, with domestic firms increasing their research efforts.
10
波音与空客竞逐租赁公司SMBC的大额飞机订单
Boeing and Airbus are competing to secure a large order for narrow-body aircraft from the leasing firm SMBC Aviation Capital.
10
AI Models Overthink Problems—and It’s a Security Risk
Researchers have found that the step-by-step reasoning processes in advanced language models introduce vulnerabilities that attackers can exploit to slow down systems.
10
China weighs open-weight AI’s security risks against national tech innovation strategy: researchers
Chinese regulators are balancing the security risks of open-weight artificial intelligence models against the strategic need for open-source innovation to maintain competitiveness with the United States.
10
SpaceX美股盘后下跌3%
SpaceX shares declined following the cancellation of a scheduled Starship rocket test flight.
10
In China, parents turn to AI to help children select a university degree
Chinese parents are increasingly utilizing artificial intelligence tools to help their children navigate the complex university admissions process and select degree programs.
10
Efficient Safety Alignment of Language Models via Latent Personality Traits
Researchers introduced Latent Personality Alignment, a method that aligns language model safety using a small set of harm-agnostic statements instead of large datasets of harmful prompts.
10
ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning
Researchers have introduced ReCoLoRA, a framework that uses spectrum-aware recursive consolidation to enable continual fine-tuning of large language models without losing performance on prior tasks.
10
Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning
This study investigates the cognitive gap in large language models where newly memorized facts during fine-tuning fail to generalize to downstream reasoning tasks.
10
ResonatorLM: Causal Resonant Field Mixing for Efficient Long-Context Language Modeling
ResonatorLM is proposed as an alternative language modeling architecture that uses causal resonant field mixing to improve long-context processing efficiency.
10
video-SALMONN-R$^3$: Learning to ReWatch, ReAsk, and ReAnswer for Efficient Video Understanding
Researchers developed video-SALMONN-R3, a framework that improves video large language models by first localizing relevant segments and then re-analyzing them at higher resolutions.
10
When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals
A new study demonstrates that consistency and agreement among language models are unreliable indicators of accuracy when evaluating AI outputs.
10
Peer-Predictive Self-Training for Language Model Reasoning
Peer-Predictive Self-Training is a collaborative, label-free fine-tuning framework where multiple language models use aggregated responses to mutually improve their reasoning capabilities.
10
Less Is More: Reducing Token Counts Without Compromising Performance
A new subword tokenizer called Thunder-Tok reduces token fertility and inference costs for large language models while maintaining downstream performance.
10
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis
This study analyzes how explainable artificial intelligence methods can facilitate the safety certification and regulatory compliance of machine learning models.
10
OpenCoF: Learning to Reason Through Video Generation
The OpenCoF framework introduces a method for models to perform logical reasoning through temporally connected video frames, termed Chain-of-Frame reasoning.
10
EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data
Researchers investigate whether training policies to predict both actions and environmental changes using World Action Models improves robot manipulation learning from egocentric human videos.
10
Introducing Claude apps gateway for AWS
AWS has launched the Claude apps gateway, a self-hosted control plane allowing organizations to manage access, costs, and policies for Claude Code and Claude Desktop.
10
NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness
NVIDIA announced that its Nemotron 3 Ultra model achieved high accuracy and throughput on agent tasks when optimized with LangChain's Deep Agents harness.
10
PixelLoop: Shortcut Topological Navigation with Pixel-Level Loops
Researchers propose a new method for topological navigation that utilizes pixel-level loops to improve mapping accuracy.
10
Weakly Supervised Spatio-Temporal Candidate Discovery of Dairy Farm Sites from Seasonal Satellite Imagery
A weakly supervised pipeline has been developed to identify dairy farm locations using seasonal satellite imagery and existing map data.
10
Brain Vascular Age Prediction Using Cerebral Blood Flow Velocity and Machine Learning Algorithms
A machine learning model was developed to estimate brain vascular age using cerebral blood flow velocity data from transcranial Doppler measurements.