All Articles
17317 articles total
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness
Research exploring internal representations of LLM forecasters to improve calibration and detect when chain-of-thought reasoning is unfaithful to the model's internal state.
Who Analyses the Analyser? Self-Validating LLM Hazard Analysis with Constitutional Meta-STPA
Proposal of Constitutional Meta-STPA, a framework that uses LLMs to perform safety analysis on the LLM-assisted tools themselves to create a governance constitution.
Reinforcing the Generation Order of Multimodal Masked Diffusion Models
Investigation into optimizing the generation order in multimodal masked diffusion models using a learnable control module trained via GRPO.
Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization
A comprehensive survey on system-aware KV cache optimization (sKis) to reduce memory intensity and costs in LLM serving systems.
When Thinking Hurts: Epistemic Signals in the Reasoning Chains of Visual Language Models
Analysis of uncertainty quantification in thinking-mode Visual Language Models, finding that thinking chain entropy is a more reliable predictor than answer entropy.
COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation
Introduction of COBART, a transformer-based method using prefix control tokens to generate optimized and customizable ad headlines with improved CTR.
A Reliability Assessment of LALM Audio Judges for Full-Duplex Voice Agents
Researchers evaluated Gemini models as 'audio judges' for scoring full-duplex voice agents, finding that Gemini 2.5 Flash provides reliable human-like scoring across most dimensions.
Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems
The AgentLocate framework was introduced to diagnose failures in LLM-based multi-agent systems by attributing errors to specific agents and the earliest decisive failure step.
SpO$_2$ Predictor-Guided Stage-Wise Time-Frequency Reconstruction of Low-Quality Dual-Wavelength PPG for Oxygen Saturation Estimation
A new stage-wise time-frequency reconstruction framework improves oxygen saturation (SpO2) estimation from low-quality wearable PPG signals by integrating a predictor-guided constraint.
Reaction-network reasoning with frontier models for experimentally confirmed catalyst-selectivity hypotheses
A human-AI co-thinking framework uses frontier LLMs to reason over chemical reaction networks, leading to the discovery of a copper-iron oxide catalyst with higher acetate selectivity.
Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions
CodeTracer is a forensic framework designed to trace backdoored code completions in LLMs to the specific malicious fine-tuning data that caused them.
Provably Optimal Learning Algorithms for Assistance Games
This research provides the first provably efficient learning algorithms for repeated assistance games between informed and uninformed agents, achieving optimal regret rates.
Can We Trust LLM's Logic? Quantifying Uncertainty, Coherence, and Robustness via a Graph-Based Framework
GRAPHEVAL is a graph-based framework that quantifies LLM reasoning uncertainty and introduces Graph Self-Consistency (GSC) to improve reasoning fidelity over simple majority voting.
APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts
APIVOT is a VLM-based planner for long-horizon robot tasks that interleaves language for semantic reasoning and visual thoughts for geometric verification.
Structured Pruning of Large Language Models via Power Transformation and Sign-Preserving Score Aggregation with Adaptive Feature Retention
A new structured pruning method for LLMs uses power transformation and sign-preserving aggregation to achieve inference speedups while maintaining accuracy.
DKDNet: Dual Knowledge and Data-Driven Network for Cross-Domain Automatic Modulation Classification
DKDNet is a dual knowledge and data-driven network designed to improve automatic modulation classification across different communication domains using signal prior knowledge.
In Emacs, Everything Looks Like a Service
A discussion on the architectural pattern of treating components as services within the Emacs ecosystem.
Tiny Tapeout Explorer: WASM FET-level circuit SIM&vis
An exploration of the Tiny Tapeout Explorer, which provides FET-level circuit simulation and visualization using WebAssembly.
Efficient Safety Alignment of Language Models via Latent Personality Traits
Introduction of Latent Personality Alignment (LPA), a lightweight safety alignment method for LLMs that uses personality-anchored representations to resist jailbreaks.
Adversarial Decoys: Misdirecting Attention-Based Defenses in ViT
Research on adversarial decoys in Vision Transformers (ViTs) that misdirect attention-based defenses to maintain attack effectiveness.