From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generation
MLLMs fail on circuit-to-Verilog translation due to 'Mirage' phenomenon; visual perturbations cause hallucinated code despite correct diagram interpretation.
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MLLMs fail on circuit-to-Verilog translation due to 'Mirage' phenomenon; visual perturbations cause hallucinated code despite correct diagram interpretation.
TMLR paper introduces Joint Embedding Variational Bayes, a probabilistic framework for non-contrastive representation learning via factorized embedding likelihood.
Despite only having one face, I made testing work. I'm currently wearing a pair of smart glasses called the Even Realities G2. Another two pairs, from Rokid, sit on my desk. A few feet away, I've got the Meta Ray-Ban Display charging alongside their Neural Wristband. In my…
StructGP uses differentiable DAG learning on irregular EHR time series for uncertainty-aware clinical forecasting with interpretable causal structure.
Reddit user reports DeepSeek model refusing to acknowledge Taiwan's sovereignty, raises questions about geopolitical bias in AI systems.
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.