Research Method Usage across Academic Ages in Library and Information Science: An Empirical Study (1990-2023)

Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind

RPA-Check: A Multi-Stage Automated Framework for Evaluating Dynamic LLM-based Role-Playing Agents

A Triadic Suffix Tokenization Scheme for Numerical Reasoning

Hidden Measurement Error in LLM Pipelines Distorts Annotation, Evaluation, and Benchmarking

Synthius-Mem: Brain-Inspired Hallucination-Resistant Persona Memory Achieving 94.4% Memory Accuracy and 99.6% Adversarial Robustness on LoCoMo

Time is Not a Label: Continuous Phase Rotation for Temporal Knowledge Graphs and Agentic Memory

NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment

Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization

METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models

Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books

METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues

Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning

Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations

Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning

Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation

Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method

CocoaBench: Evaluating Unified Digital Agents in the Wild

MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis

Evaluating Memory Capability in Continuous Lifelog Scenario

How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts

Efficient Training for Cross-lingual Speech Language Models

Shared Emotion Geometry Across Small Language Models: A Cross-Architecture Study of Representation, Behavior, and Methodological Confounds

A Systematic Analysis of the Impact of Persona Steering on LLM Capabilities

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking

When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading Policies

When Verification Fails: How Compositionally Infeasible Claims Escape Rejection

Mem$^2$Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation

AOP-Smart: A RAG-Enhanced Large Language Model Framework for Adverse Outcome Pathway Analysis

OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation

Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series

TInR: Exploring Tool-Internalized Reasoning in Large Language Models

Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction

Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models

Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation

BlasBench: An Open Benchmark for Irish Speech Recognition

Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models

Learning and Enforcing Context-Sensitive Control for LLMs

HeceTokenizer: A Syllable-Based Tokenization Approach for Turkish Retrieval

Efficient Process Reward Modeling via Contrastive Mutual Information

Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment

Bridging Linguistic Gaps: Cross-Lingual Mapping in Pre-Training and Dataset for Enhanced Multilingual LLM Performance

Knowing What to Stress: A Discourse-Conditioned Text-to-Speech Benchmark

Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models

LLMs Should Incorporate Explicit Mechanisms for Human Empathy

ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization

Structure-Grounded Knowledge Retrieval via Code Dependencies for Multi-Step Data Reasoning

From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation

Dynamic Adaptive Attention and Supervised Contrastive Learning: A Novel Hybrid Framework for Text Sentiment Classification

EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning

NOSE: Neural Olfactory-Semantic Embedding with Tri-Modal Orthogonal Contrastive Learning

Instruction Data Selection via Answer Divergence

CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning

Turing or Cantor: That is the Question

LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset

NameBERT: Scaling Name-Based Nationality Classification with LLM-Augmented Open Academic Data

BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection

A Structured Clustering Approach for Inducing Media Narratives

Adaptive Multi-Expert Reasoning via Difficulty-Aware Routing and Uncertainty-Guided Aggregation

Comparative Analysis of Large Language Models in Healthcare

CodeComp: Structural KV Cache Compression for Agentic Coding

Relational Probing: LM-to-Graph Adaptation for Financial Prediction

FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness

ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification

Nationality encoding in language model hidden states: Probing culturally differentiated representations in persona-conditioned academic text

Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities

Training-Free Cross-Lingual Dysarthria Severity Assessment via Phonological Subspace Analysis in Self-Supervised Speech Representations

CircuitSynth: Reliable Synthetic Data Generation

Who Wrote This Line? Evaluating the Detection of LLM-Generated Classical Chinese Poetry

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models

Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models

Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty

ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models

Mirroring Minds: Asymmetric Linguistic Accommodation and Diagnostic Identity in ADHD and Autism Reddit Communities

Computational Implementation of a Model of Category-Theoretic Metaphor Comprehension

CoSToM:Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models

Weird Generalization is Weirdly Brittle

Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning

Should We be Pedantic About Reasoning Errors in Machine Translation?

Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis

Spoiler Alert: Narrative Forecasting as a Metric for Tension in LLM Storytelling

Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering

GIANTS: Generative Insight Anticipation from Scientific Literature

Many-Tier Instruction Hierarchy in LLM Agents

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition

Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering

Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs

$p1$: Better Prompt Optimization with Fewer Prompts

Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition

Skip-Connected Policy Optimization for Implicit Advantage

PRAGMA: Revolut Foundation Model

Linear Representations of Hierarchical Concepts in Language Models

Generating High Quality Synthetic Data for Dutch Medical Conversations

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation

Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations

Self-Calibrating Language Models via Test-Time Discriminative Distillation

Re-Mask and Redirect: Exploiting Denoising Irreversibility in Diffusion Language Models

H-AdminSim: A Multi-Agent Simulator for Realistic Hospital Administrative Workflows with FHIR Integration

Reasoning Models Will Sometimes Lie About Their Reasoning

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