CUEBES

Hardware-Aware Model Design and Training of Silicon-based Analog Neural Networks

arXiv:2601.19905v1 Announce Type: new Abstract: Silicon-based analog neural networks physically embody the ideal neural network model in an approximate way. We show that by retraining...

Technology Software

arXiv CS Jan 29

GTAC: A Generative Transformer for Approximate Circuits

arXiv:2601.19906v1 Announce Type: new Abstract: Targeting error-tolerant applications, approximate circuits introduce controlled errors to significantly improve performance, power, and area (PPA) of circuits. In this...

Software Psychology

arXiv CS Jan 29

RAPID-Graph: Recursive All-Pairs Shortest Paths Using Processing-in-Memory for Dynamic Programming on Graphs

arXiv:2601.19907v1 Announce Type: new Abstract: All-pairs shortest paths (APSP) remains a major bottleneck for large-scale graph analytics, as data movement with cubic complexity overwhelms the...

Technology Software

arXiv CS Jan 29

CHIME: Chiplet-based Heterogeneous Near-Memory Acceleration for Edge Multimodal LLM Inference

arXiv:2601.19908v1 Announce Type: new Abstract: The proliferation of large language models (LLMs) is accelerating the integration of multimodal assistants into edge devices, where inference is...

Technology Software

arXiv CS Jan 29

A Cache-Aware Hybrid Sieve Combining Segmentation and Bit-Packing for Fast Prime Generation

arXiv:2601.19909v1 Announce Type: new Abstract: Prime generation is a fundamental task in cryptography, number theory, and randomized algorithms. While the classical Sieve of Eratosthenes is...

Psychology Software

arXiv CS Jan 29

Understanding Bottlenecks for Efficiently Serving LLM Inference With KV Offloading

arXiv:2601.19910v1 Announce Type: new Abstract: KV cache offloading enables long-context LLM inference by storing caches in CPU DRAM, but PCIe bandwidth limitations create severe bottlenecks....

Artificial Intelligence Technology

arXiv CS Jan 29

GPU-Augmented OLAP Execution Engine: GPU Offloading

arXiv:2601.19911v1 Announce Type: new Abstract: Modern OLAP systems have mitigated I/O bottlenecks via storage-compute separation and columnar layouts, but CPU costs in the execution layer...

Materials Science Politics

arXiv CS Jan 29

Analysis of LLM Vulnerability to GPU Soft Errors: An Instruction-Level Fault Injection Study

arXiv:2601.19912v1 Announce Type: new Abstract: Large language models (LLMs) are highly compute- and memory-intensive, posing significant demands on high-performance GPUs. At the same time, advances...

Technology Software

arXiv CS Jan 29

From Intuition to Expertise: Rubric-Based Cognitive Calibration for Human Detection of LLM-Generated Korean Text

arXiv:2601.19913v1 Announce Type: new Abstract: Distinguishing human-written Korean text from fluent LLM outputs remains difficult even for linguistically trained readers, who can over-trust surface well-formedness....

Biology Neuroscience

arXiv CS Jan 29

Simulating Complex Multi-Turn Tool Calling Interactions in Stateless Execution Environments

arXiv:2601.19914v1 Announce Type: new Abstract: Synthetic data has proven itself to be a valuable resource for tuning smaller, cost-effective language models to handle the complexities...

Technology Environment

arXiv CS Jan 29

Modeling Next-Token Prediction as Left-Nested Intuitionistic Implication

arXiv:2601.19915v1 Announce Type: new Abstract: We introduce the \emph{Arrow Language Model}, a neural architecture derived from an intuitionistic-logic interpretation of next-token prediction. Instead of representing...

Neuroscience Psychology

arXiv CS Jan 29

PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review

arXiv:2601.19916v1 Announce Type: new Abstract: Large language models can generate fluent peer reviews, yet their assessments often lack sufficient critical rigor when substantive issues are...

Policy Artificial Intelligence

arXiv CS Jan 29

PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models

arXiv:2601.19917v1 Announce Type: new Abstract: Strategic planning is critical for multi-step reasoning, yet compact Large Language Models (LLMs) often lack the capacity to formulate global...

Mathematics World News

arXiv CS Jan 29

Lowest Span Confidence: A Zero-Shot Metric for Efficient and Black-Box Hallucination Detection in LLMs

arXiv:2601.19918v1 Announce Type: new Abstract: Hallucinations in Large Language Models (LLMs), i.e., the tendency to generate plausible but non-factual content, pose a significant challenge for...

Environment Energy

arXiv CS Jan 29

FastWhisper: Adaptive Self-knowledge Distillation for Real-time Automatic Speech Recognition

arXiv:2601.19919v1 Announce Type: new Abstract: Knowledge distillation is one of the most effective methods for model compression. Previous studies have focused on the student model...

Psychology Policy

arXiv CS Jan 29

PiC-BNN: A 128-kbit 65 nm Processing-in-CAM-Based End-to-End Binary Neural Network Accelerator

arXiv:2601.19920v1 Announce Type: new Abstract: Binary Neural Networks (BNNs), where weights and activations are constrained to binary values (+1, -1), are a highly efficient alternative...

Software Energy

arXiv CS Jan 29

Demystifying Multi-Agent Debate: The Role of Confidence and Diversity

arXiv:2601.19921v1 Announce Type: new Abstract: Multi-agent debate (MAD) is widely used to improve large language model (LLM) performance through test-time scaling, yet recent work shows...

Mathematics Politics

arXiv CS Jan 29

HEART: A Unified Benchmark for Assessing Humans and LLMs in Emotional Support Dialogue

arXiv:2601.19922v1 Announce Type: new Abstract: Supportive conversation depends on skills that go beyond language fluency, including reading emotions, adjusting tone, and navigating moments of resistance,...

Psychology Software

arXiv CS Jan 29

Table-BiEval: A Self-Supervised, Dual-Track Framework for Decoupling Structure and Content in LLM Evaluation

arXiv:2601.19923v1 Announce Type: new Abstract: As Large Language Models (LLMs) evolve into autonomous agents, the capability to faithfully translate natural language into rigorous structured formats-essential...

Software Robotics

arXiv CS Jan 29

OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling

arXiv:2601.19924v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated impressive progress in optimization modeling, fostering a rapid expansion of new methodologies and evaluation...

Software Biology

arXiv CS Jan 29

Evaluating Large Language Models for Abstract Evaluation Tasks: An Empirical Study

arXiv:2601.19925v1 Announce Type: new Abstract: Introduction: Large language models (LLMs) can process requests and generate texts, but their feasibility for assessing complex academic content needs...

Artificial Intelligence Biology

arXiv CS Jan 29

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models

arXiv:2601.19926v1 Announce Type: new Abstract: We present a systematic review of 337 articles evaluating the syntactic abilities of Transformer-based language models, reporting on 1,015 model...

Health Policy

arXiv CS Jan 29

Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey

arXiv:2601.19927v1 Announce Type: new Abstract: Large Language Models (LLMs)-based question answering (QA) systems play a critical role in modern AI, demonstrating strong performance across various...

Software Biology

arXiv CS Jan 29

Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures

arXiv:2601.19928v1 Announce Type: new Abstract: Reinforcement learning (RL) has catalyzed the emergence of Large Reasoning Models (LRMs) that have pushed reasoning capabilities to new heights....

Psychology Software