SCDBench Shifts Smart Contract Decompilation Toward Semantic Evaluation
SCDBench argues smart contract decompilation should be judged by semantic equivalence, not just source-like Solidity.
SCDBench argues smart contract decompilation should be judged by semantic equivalence, not just source-like Solidity.
Examines synthetic data generation as a streaming learning problem, focusing on transfer, forgetting, and feedback loops.
TaxDistill argues pretraining data composition and distilled genome representations matter more than model size.
This study argues tokenized time series LLMs lose continuity and order, and proposes COM constraints to preserve temporal structure.
A look at a paper arguing that aggregating full reasoning traces can outperform answer-only consensus in multi-agent systems.
VitalAgent proposes an agent architecture for long-term ECG and PPG streams with reasoning, memory, and proactive monitoring.
A curated link roundup from recently collected official updates and tech news.
A look at rubric- and concept-based grading that makes open-ended scoring more reviewable, editable, and accountable.
CyberJurors evaluates agent systems on multi-round, multimodal evidence handling and platform rule adaptation in e-commerce disputes.
Why multimodal AI still struggles with charts and scientific figures, and how to verify image-based conclusions in practice.
Examines human-AI collaboration for replicability prediction, balancing speed and consistency against bias, accountability, and privacy risks.
MOV-Bench highlights evaluation gaps in multi-hop audio-visual reasoning and shows consistent gains from agentic search.
Examines whether offline RL can cut online RL costs in code generation post-training without sacrificing practical quality.
How under-specified applied ML papers can become executable benchmarks through agentic workflows and slot-based reporting.
AI vertical integration is less about chips than controlling the training stack, latency, throughput, utilization, and recovery.
A curated link roundup from recently collected official updates and tech news.
How policy-as-code layers can govern generalist LLM agents by controlling tool use, approvals, and data exposure.
A look at structuring table QA with guided cell navigation and staged inference to improve accuracy and verify evidence paths.
MOCHA treats agent skills as multi-field artifacts and argues they must be optimized with platform constraints in mind.
Examines how offloading and preemption affect multi-model LLM serving under GPU memory limits and model-specific costs.
A curated link roundup from recently collected official updates and tech news.
COBALT proposes smartphone and cloud teleoperation to reduce data collection bottlenecks in robot imitation learning.
In handwritten math grading, process understanding matters more than OCR, requiring rubric-based review and human checks.
Multi-image prompts can bypass single-image filters, exposing structural safety gaps in multimodal LLM defenses.