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Newest papers, page 242
When Learned Context Planning Fails to Beat Strong Retrieval: A Controlled Study of Planning, Routing, and Reranking for Long-Context QA
Learned context planning selects evidence atoms before an answer model reasons over them.LEGO: Synergizing Expert GraphRAG and Expert Chain-of-Thought for Legal Reasoning
Large language models are increasingly applied to high-risk domains such as law, yet complex legal reasoning remains limited by two structural challenges.ContraVis: Evidence-Grounded Visual Analytics for Contradiction Review in Legal Contracts
Legal contracts are structurally complex documents in which contradictions may emerge across distant and interconnected provisions.LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies
Faithfulness is a central concern in legal text summarization, which motivates extractive approaches that select verbatim content traceable to its source.EduBehaviors: Assertion-based Schemas for Auditable Coding of Educational Dialogues
Large language models have allowed the rapid deployment of pedagogical annotations corresponding to constructs of interest, allowing a natural language interface for generating classifications on a…The Illinois Social Attitudes Aggregate Corpus (ISAAC): An Open Tool and Reproducible Pipeline for Analyzing Social Group Discourse at Scale
We introduce the Illinois Social Attitudes Aggregate Corpus (ISAAC), an open, modular, and accessible corpus of 527 million+ English-language Reddit posts selected for relevance to six key social…What Changes When Fact-Verification Scores Improve? Evidence and Answer Accounting Across Trained Verifiers and LLMs
A joint fact-verification score assesses answers and submitted evidence together.ChipMEM: Verification-Grounded Memory for EDA Agents
Large language model (LLM)-based agents use Electronic Design Automation (EDA) tools to generate and revise register-transfer-level (RTL) designs under synthesis and verification feedback.NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task
NADI 2026 is the seventh edition of the Nuanced Arabic Dialect Identification (NADI) shared task series and the second dedicated to multidialectal Arabic speech processing.Feed the Panel Dimensions, Not Verdicts: Rubric-Decomposed Fusion of Vision-Language Aesthetic Judges
Vision-language models (VLMs) are deployed as zero-shot judges of image aesthetics, and panels of several models are recommended, on thin evidence, as the way to make such judges reliable.Giving Credit Where It's Due: Redundancy-Aware Learning for Efficient Reasoning
Large reasoning models can produce correct yet unnecessarily long reasoning traces.The Linear Representation Hypothesis Needs a Group Action
To make claims about representations that generalize beyond a particular trained model, we need to specify when two representations should count as equivalent.Count Evidence, Not Sentences: Tempered Evidence Fusion of LLM Judgments for Long-Text Value Measurement
Large language models (LLMs) are increasingly used to measure public value orientations from long social media posts, yet such posts often mix background, quotations, concessions, and only a few…Some Dialects Are More Equal Than Others: Non-Prestigious Arabic Dialectal Bias in LLMs
Previous work on Egyptian Arabic in NLP has focused largely on the prestigious Cairene Egyptian Arabic (CEA) dialect, resulting in a lack of representation for the less prestigious Sa'idi Egyptian…Open-Jev Judgments on CallScreenBench: Calibrated One-Pass Scam Screening with a Small Language Model
Screening a phone call for fraud needs a trustworthy probability after every caller turn, in milliseconds.From Tables to Quantified Statements: Evaluating LLM Inference Generation through Executable Verification
LLMs can generate fluent descriptions from tables, but their outputs may remain logically unsupported by the structured data.AURA: Uncertainty-Routed Activation Editing for Acoustic Grounding in Speech Foundation Models
Attention encoder-decoder (AED) Speech Foundation Models achieve strong ASR performance but can generate acoustically unsupported text when inputs contain no speech, weak acoustic evidence, or…When Evidence Conflicts: Reliability-aware Meta-review Generation
Generating coherent meta-reviews from multiple peer reviews is challenging when reviewer evidence conflicts and varies in reliability.Calibrated Decisions at Scale: Converting Police Crash Narratives into Probabilistic Crash Variables with a System One Model (Jev)
Crash datasets that carry an investigator narrative hold information the coded fields omit.Representation-guided in-context learning for medical image interpretation with multimodal large language models
Medical image interpretation is central to diagnosis and care, yet adapting general-purpose multimodal large language models (MLLMs) often requires resource-intensive domain-specific fine-tuning.