Aionda

Designing Triadic LLM Collaboration for K-12 Writing

An arXiv study examines teacher-student-model collaboration and control frameworks for LLM use in K-12 writing.

Why MCP Matters for Scientific Knowledge Graph Queries

A look at how mcp-proto-okn connects natural language to scientific knowledge graph queries and reproducible workflows.

Q-Guided Alignment for Return-Conditioned Offline RL Control

Examines limits of RTG-only conditioning and how Q-guided alignment aims to improve controllability and reliability in offline RL.

CommunityMay 29, 20262026-05-29

Reading AI Pricing Through Limits and Infrastructure Costs

AI pricing is better understood through usage caps, fallback rules, and inference infrastructure efficiency, not subscription fees alone.

Reducing Vocabulary Search in CFG Constrained Decoding

A look at reducing full-vocabulary search overhead in CFG-constrained decoding for structured output workloads.

SCDBench Shifts Smart Contract Decompilation Toward Semantic Evaluation

SCDBench argues smart contract decompilation should be judged by semantic equivalence, not just source-like Solidity.

TaxDistill Rethinks Metagenome Classification Beyond Model Size

TaxDistill argues pretraining data composition and distilled genome representations matter more than model size.

Time Structure Limits in Tokenized Time Series LLMs

This study argues tokenized time series LLMs lose continuity and order, and proposes COM constraints to preserve temporal structure.

Trace-Level Synthesis Challenges Consensus in Multi-Agent Reasoning

A look at a paper arguing that aggregating full reasoning traces can outperform answer-only consensus in multi-agent systems.

From Black-Box Grading to Rubric-Based Explainable Scoring

A look at rubric- and concept-based grading that makes open-ended scoring more reviewable, editable, and accountable.

Evaluating AI Agents for E-Commerce Dispute Resolution Tasks

CyberJurors evaluates agent systems on multi-round, multimodal evidence handling and platform rule adaptation in e-commerce disputes.

CommunityMay 28, 20262026-05-28

How Far Can Multimodal AI Be Trusted

Why multimodal AI still struggles with charts and scientific figures, and how to verify image-based conclusions in practice.

Human-AI Collaboration in Scientific Replicability Assessment

Examines human-AI collaboration for replicability prediction, balancing speed and consistency against bias, accountability, and privacy risks.

MOV-Bench Reveals Gaps in Multi-Hop Video Reasoning

MOV-Bench highlights evaluation gaps in multi-hop audio-visual reasoning and shows consistent gains from agentic search.

PON Addresses Heterogeneity in Federated Reinforcement Learning

A concise look at how PON mitigates input distribution mismatch in heterogeneous FedRL simulation environments.

CommunityMay 28, 20262026-05-28

Vertical Integration Matters More Than Model Speed

AI vertical integration is less about chips than controlling the training stack, latency, throughput, utilization, and recovery.

k-ai-pulse

RoundupMay 23, 20262026-05-23

AI Resource Roundup (24h) - 2026-05-23

A curated link roundup from recently collected official updates and tech news.

SourceMay 23, 20262026-05-23

Policy Layers for Governing Generalist LLM Agents Safely

How policy-as-code layers can govern generalist LLM agents by controlling tool use, approvals, and data exposure.

SourceMay 23, 20262026-05-23

Structuring Table QA With Navigation And Progressive Inference

A look at structuring table QA with guided cell navigation and staged inference to improve accuracy and verify evidence paths.

k-ai-pulse

RoundupMay 22, 20262026-05-22

AI Resource Roundup (24h) - 2026-05-22

A curated link roundup from recently collected official updates and tech news.

SourceMay 21, 20262026-05-21

MOCHA Reframes Agent Skills Beyond Prompt Tuning Alone

MOCHA treats agent skills as multi-field artifacts and argues they must be optimized with platform constraints in mind.

SourceMay 21, 20262026-05-21

Multi-Model LLM Scheduling Under Offloading And Preemption Costs

Examines how offloading and preemption affect multi-model LLM serving under GPU memory limits and model-specific costs.

k-ai-pulse

RoundupMay 20, 20262026-05-20

AI Resource Roundup (24h) - 2026-05-20

A curated link roundup from recently collected official updates and tech news.