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ArXiv cs.AI
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11h ago
ST-Prune: Training-Free Spatio-Temporal Token Pruning for Vision-Language Models in Autonomous Driving
arXiv:2604.19145v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) have become central to autonomous driving systems, yet their deployment is sever
ArXiv cs.AI
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11h ago
Nexusformer: Nonlinear Attention Expansion for Stable and Inheritable Transformer Scaling
arXiv:2604.19147v1 Announce Type: cross Abstract: Scaling Transformers typically necessitates training larger models from scratch, as standard architectures str
ArXiv cs.AI
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11h ago
How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning
arXiv:2604.19149v1 Announce Type: cross Abstract: Thinking LLMs produce reasoning traces before answering. Prior activation steering work mainly targets on shap
ArXiv cs.AI
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11h ago
LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
arXiv:2604.19167v1 Announce Type: cross Abstract: Deploying large language models (LLMs) in resource-constrained environments is hindered by heavy computational
ArXiv cs.AI
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11h ago
SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization
arXiv:2604.19185v1 Announce Type: cross Abstract: Small language models (SLMs), such as BART, can achieve summarization performance comparable to large language
ArXiv cs.AI
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11h ago
Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
arXiv:2604.19186v1 Announce Type: cross Abstract: Heterophily is a prevalent property of real-world graphs and is well known to impair the performance of homoph
ArXiv cs.AI
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11h ago
Improved Anomaly Detection in Medical Images via Mean Shift Density Enhancement
arXiv:2604.19191v1 Announce Type: cross Abstract: Anomaly detection in medical imaging is essential for identifying rare pathological conditions, particularly w
ArXiv cs.AI
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11h ago
Attention-based Multi-modal Deep Learning Model of Spatio-temporal Crop Yield Prediction with Satellite, Soil and Climate Data
arXiv:2604.19217v1 Announce Type: cross Abstract: Crop yield prediction is one of the most important challenge, which is crucial to world food security and poli
ArXiv cs.AI
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11h ago
Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers
arXiv:2604.19219v1 Announce Type: cross Abstract: Federated Learning (FL) enables collaborative model training among multiple parties without centralizing raw d
ArXiv cs.AI
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11h ago
Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs
arXiv:2604.19245v1 Announce Type: cross Abstract: Repair, an important resource for resolving trouble in human-human conversation, remains underexplored in huma
ArXiv cs.AI
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11h ago
Streamliners for Answer Set Programming
arXiv:2604.19251v1 Announce Type: cross Abstract: Streamliner constraints reduce the search space of combinatorial problems by ruling out portions of the soluti
ArXiv cs.AI
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11h ago
ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning
arXiv:2604.19254v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning (PEFT) reduces the training cost of full-parameter fine-tuning for large langu
ArXiv cs.AI
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11h ago
CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks
arXiv:2604.19262v1 Announce Type: cross Abstract: Large language models (LLMs) are now deployed worldwide, inspiring a surge of benchmarks that measure their mu
ArXiv cs.AI
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11h ago
Beyond Semantic Similarity: A Component-Wise Evaluation Framework for Medical Question Answering Systems with Health Equity Implications
arXiv:2604.19281v1 Announce Type: cross Abstract: The use of Large Language Models (LLMs) to support patients in addressing medical questions is becoming increa
ArXiv cs.AI
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11h ago
Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs
arXiv:2604.19292v1 Announce Type: cross Abstract: Multilingual large language models (LLMs) have minimized the fluency gap between languages. This advancement,
ArXiv cs.AI
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11h ago
IndiaFinBench: An Evaluation Benchmark for Large Language Model Performance on Indian Financial Regulatory Text
arXiv:2604.19298v1 Announce Type: cross Abstract: We introduce IndiaFinBench, to our knowledge the first publicly available evaluation benchmark for assessing l
ArXiv cs.AI
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11h ago
Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms
arXiv:2604.19299v1 Announce Type: cross Abstract: Despite the impressive capabilities of large language models, their substantial computational costs, latency,
ArXiv cs.AI
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11h ago
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
arXiv:2604.19300v1 Announce Type: cross Abstract: Large Audio-Language Models (LALMs) have recently achieved strong performance across various audio-centric tas
ArXiv cs.AI
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11h ago
Co-Refine: AI-Powered Tool Supporting Qualitative Analysis
arXiv:2604.19309v1 Announce Type: cross Abstract: Qualitative coding relies on a researcher's application of codes to textual data. As coding proceeds across la
ArXiv cs.AI
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11h ago
RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models
arXiv:2604.19321v1 Announce Type: cross Abstract: Fine-tuning Large Language Models (LLMs) remains structurally uncertain despite parameter-efficient methods su
ArXiv cs.AI
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11h ago
PLaMo 2.1-VL Technical Report
arXiv:2604.19324v1 Announce Type: cross Abstract: We introduce PLaMo 2.1-VL, a lightweight Vision Language Model (VLM) for autonomous devices, available in 8B a
ArXiv cs.AI
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11h ago
Evaluation-driven Scaling for Scientific Discovery
arXiv:2604.19341v1 Announce Type: cross Abstract: Language models are increasingly used in scientific discovery to generate hypotheses, propose candidate soluti
ArXiv cs.AI
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11h ago
LASER: Learning Active Sensing for Continuum Field Reconstruction
arXiv:2604.19355v1 Announce Type: cross Abstract: High-fidelity measurements of continuum physical fields are essential for scientific discovery and engineering
ArXiv cs.AI
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11h ago
TACENR: Task-Agnostic Contrastive Explanations for Node Representations
arXiv:2604.19372v1 Announce Type: cross Abstract: Graph representation learning has achieved notable success in encoding graph-structured data into latent vecto
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