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Newest papers, page 148
Rubric Spans are Label Representations: Joint LLM Encoding for Short Answer Scoring
Automatic Short Answer Scoring (ASAS) requires models that can score student responses against question-specific criteria while remaining efficient and transferable across rubric sets.Alice: A Large-Scale German Benchmark for Rubric-Based Multi-Dimensional Automatic Short Answer Scoring
Automatic Short Answer Scoring (ASAS) is central to NLP for Education.SAPD: Step-Aligned Privileged Distillation
On-policy post-training can improve large language models by learning from their own trajectories, but requires costly rollout generation.InsClaimBench: Benchmarking Insurance Claim Adjudication Across the Decision Chain
Recent advances in reasoning-oriented large language models (LLMs) have motivated increasing evaluation of their ability to perform professional decision tasks.From Pareto to Preference: Personalized Test-Time Scaling via Amortized Agentic Policy Discovery
Test-time scaling (TTS) improves the reasoning capabilities of large language models by allocating additional inference computation.SpikingVLA: Asynchronous Spiking Vision-Language-Action Models
ANN-to-SNN conversion offers a practical route toward energy-efficient spiking Vision-Language-Action (VLA) models by bypassing the substantial cost of training large-scale SNNs from scratch.Towards Explaining Query Expansion Performance in Information Retrieval
Query Expansion (QE) techniques have long been widely used in Information Retrieval (IR) to address the vocabulary mismatch problem.Bridge Routing Heads: Where Multilingual Multi-hop Reasoning Lives in LLMs
Multilingual LLMs answer the same multi-hop reasoning question across languages, but we lack a mechanistic account of whether they share an internal circuit.Shaer: Controlled Arabic Poetry Generation with Meter Subform and Semantic Conditioning
Classical Arabic poetry generation requires simultaneously satisfying semantic, linguistic, and fine-grained prosodic constraints.PARC-Loc: Text-to-Point-Cloud Localization with Partial Assignment and Relational Consistency
Text-to-point-cloud localization estimates a position in a city-scale 3D map from descriptions of surrounding objects.Bolzano: From Expert-Guided Proof Search to Automated Open-Problem Solving
Large language models are increasingly contributing to mathematical research, where progress often depends on efficient proof search, incremental improvements and careful verification.Decoupling Logic from Persona: Structural Immunity of Edge LLM Agents to Context Pollution
Edge language-model agents must hold a persona and reason correctly at once, in one context window that fills with history and persona instructions.Judging in Latent Space: Efficient Generative Reward Modeling via Semantics-Preserving Compression
Reward modeling often requires jointly representing and reasoning over multiple evaluation criteria, yet verbalizing this process token by token can incur substantial inference cost.MIRROR: From Imitation to Internalization in LLM Personalization
The demand for personalized LLMs is shifting from style imitation toward content quality.A Deafening Silence: Catastrophic Forgetting Lives in the Output Embeddings of Tokens the Data Never Speaks
Continual pre-training and fine-tuning in Large Language Models (LLMs) inevitably induce catastrophic forgetting, typically mitigated by replay using often-inaccessible original data.Training Advisors for LLM Agents from Task Outcomes
Large language model agents tackle multi-step tasks by interleaving reasoning and tool calls with observations from the environment.LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving Markets
Evaluating agents by outcomes alone can obscure the capabilities that produce them.Constrained-Action AI Remediation for SIEM/XDR via a NeMo-Guardrails Proxy
Security Operations Centers (SOCs) for information technology and operational technology share one incident-response problem: a flood of correlated alerts and too few analysts.Inverting Multi-Vector Visual Document Indices
Prevailing multi-vector visual document retrievers store each page as about a thousand patch vectors, often in vector databases run by a third party.Itgan at NADI 2026 shared task: Parameter-Efficient Whisper Adaptation for Robust, Mixed-Dialect and Code-Switched Arabic ASR
We describe the Itgan systems for the three ASR subtasks of NADI 2026, namely robust country-level ASR (1.1), mixed-dialect ASR (1.2), and Tunisian code-switched ASR (1.3).