The Archive

Splitting algorithm reduces computational complexity of Assumption-Based Argumentation frameworks by decomposing ABAFs into smaller subproblems.

Language model agents design mechanical linkages via symbolic lifting: LLMs explore topologies while numerical optimizers tune parameters, validated on six motion targets.

LLM+ASP framework translates natural language to Answer Set Programming for nonmonotonic reasoning, enabling defeasible logic without SMT limitations.

Survey of RL+GUI agents for long-horizon automation in visual interfaces; proposes framework toward autonomous digital inhabitants with safe exploration.

VLMs exhibit behavioral shifts in Iterated Prisoner's Dilemma when exposed to visual priming; color and imagery influence cooperation decisions.

Diffusion-OAMP training-free framework embeds pre-trained diffusion model into OAMP for joint image compression and wireless transmission.

Attractor FCM uses gradient descent with physics constraints and fixed-point anchors; employs residual memory and BPTT for convergence.

Differentiable weather models calibrate gradient-based attribution for IoT sensor data valuation in large-scale weather networks without full assimilation.

Game-Theoretic Free Energy Principle unifies multi-agent local optimization with stochastic game equilibria under bounded rationality.

Multi-band encoding framework extends bioacoustics classification beyond 16 kHz baseband to capture ultrasonic animal vocalizations.

MM-StanceDet uses retrieval-augmented multi-agent framework for multimodal stance detection with cross-modal conflict resolution.

DPN-LE framework identifies minimally necessary neurons for LLM personality representation to reduce editing overhead and degradation.

TunnelMIND applies training-free visual recalibration to foundation models for precise tunnel defect localization and engineering documentation.

LAPITHS framework challenges CENTAUR model's claims of human-like cognition via theoretical and empirical critique of transformer interpretations.

Survey synthesizes LLM-assisted peer review methods: generation, rebuttal/meta-review automation, and evaluation across pipeline stages.

Evaluates EuroLLM, Aya Expanse, Gemma on emotion preservation in machine translation across 28 emotion categories in 5 languages.

Conformal Abstention framework provides finite-sample guarantees for LM uncertainty quantification and abstention from hallucination-prone queries.

Physical Foundation Models proposes fixed hardware implementations for trillion-parameter models to amortize deployment infrastructure costs.

Schema-grounded external memory for agents outperforms text-retrieval approaches by enabling exact fact tracking, state updates, and structured queries.

HealthFormer decoder-only transformer models human physiological trajectories across 667 measurements from 15K+ patients to simulate intervention responses.

Survey formalizing graph-based world models for agents, decomposing environments into entity nodes and edges to improve robustness vs. flat-tensor approaches.

Mixture-of-Experts framework for semi-supervised inference combining diverse predictors with limited labeled data via prediction-powered inference.

System-prompt self-orchestration outperforms external agent frameworks (LangGraph, CrewAI, OpenAI SDK) on procedural tasks; 200 conversation comparison.

Decoupled Descent algorithm enforces train-test error identity in gradient descent via approximate message passing, addressing generalization gap.

On-demand persona-based agent generation framework enabling dynamic multi-agent workflow customization without hard-coded architectures.

Lightweight clinical agent architecture using integrated state dynamics to surface pre-escalation risk signals in LLM clinical deployment.

KellyBench: long-horizon sequential decision benchmark using 2023-24 Premier League sports betting; evaluates agents on non-stationary open-ended optimization.

llama-swap adds matrix grouping feature for multi-model orchestration and intelligent VRAM swap scheduling.

Reddit discussion expressing skepticism toward DeepSeek claims; lacks substantive technical content or reporting.

TwinGate defense against decompositional jailbreaks in untraceable, anonymized request streams using stateful asymmetric contrastive learning.