Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training

arXiv:2602.22576v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by incorporating external knowledge, yet traditional single-round retrieval struggles with complex multi-step …

Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA

arXiv:2602.22584v1 Announce Type: new Abstract: Industrial advertising question answering (QA) is a high-stakes task in which hallucinated content, particularly fabricated URLs, can lead to financial …

dLLM: Simple Diffusion Language Modeling

arXiv:2602.22661v1 Announce Type: new Abstract: Although diffusion language models (DLMs) are evolving quickly, many recent models converge on a set of shared components. These components, …

Enhancing Persuasive Dialogue Agents by Synthesizing Cross-Disciplinary Communication Strategies

arXiv:2602.22696v1 Announce Type: new Abstract: Current approaches to developing persuasive dialogue agents often rely on a limited set of predefined persuasive strategies that fail to …

Combining Event Semantics and Degree semantics for Natural Language Inference

Reinforcing Real-world Service Agents: Balancing Utility and Cost in Task-oriented Dialogue

arXiv:2602.22697v1 Announce Type: new Abstract: The rapid evolution of Large Language Models (LLMs) has accelerated the transition from conversational chatbots to general agents. However, effectively …

Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs

arXiv:2602.22698v1 Announce Type: new Abstract: Leveraging Large Language Models (LLMs) for Knowledge Graph Completion (KGC) is promising but hindered by a fundamental granularity mismatch. LLMs …

Human Label Variation in Implicit Discourse Relation Recognition

arXiv:2602.22723v1 Announce Type: new Abstract: There is growing recognition that many NLP tasks lack a single ground truth, as human judgments reflect diverse perspectives. To …

Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks

arXiv:2602.22730v1 Announce Type: new Abstract: This paper introduces a novel Czech dataset in the restaurant domain for aspect-based sentiment analysis (ABSA), enriched with annotations of …

Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction

arXiv:2602.22752v1 Announce Type: new Abstract: The transition of Large Language Models (LLMs) from exploratory tools to active "silicon subjects" in social science lacks extensive validation …

AuditBench: Evaluating Alignment Auditing Techniques on Models with Hidden Behaviors

arXiv:2602.22755v1 Announce Type: new Abstract: We introduce AuditBench, an alignment auditing benchmark. AuditBench consists of 56 language models with implanted hidden behaviors. Each model has …

Towards Better RL Training Data Utilization via Second-Order Rollout

arXiv:2602.22765v1 Announce Type: new Abstract: Reinforcement Learning (RL) has empowered Large Language Models (LLMs) with strong reasoning capabilities, but vanilla RL mainly focuses on generation …