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Computation & Language / NLP
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Newest papers, page 249
AgentRouter: Heterogeneous Model Routing for Cost-Optimal Multi-Step Agentic Workflows
Enterprise agentic systems that route every trajectory step to a frontier model waste 60-80% of their inference budget on subtasks that smaller models handle equally well.Automatic multimodal UX improvement recommendations from LLM agent user simulations
Evaluating user experience (UX) on live websites through user testing is expensive, subjective, and difficult to scale.Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs
Similarity-based retrieval is the dominant rule for conditioning large language models (LLMs) in in-context learning, retrieval-augmented generation, and prompt-based time series forecasting.Rethinking Pivot Programming Languages in Code Language Models
Multilingual code language models transfer skills across programming languages (PLs), but whether any PL occupies a privileged pivot position remains contested: geometric analyses point to C-family…Auditing Political Alignment in LLM Assistants: Engagement, Stance, and User Identity
LLM-based AI systems answer political questions for hundreds of millions of people.Enforcing Narrative Reliability and Epistemic Pacing in LLM-Driven Detective Games via Structured Knowledge Trees
Large Language Models (LLMs) enable open-ended dialogue in interactive games, but their non-deterministic outputs make it difficult to preserve authorial control, factual consistency, and the…Attributable Post-Rationalization in RAG Citations: A Controlled Reproduction and an RLVR Comparison
A RAG system can hand you the right answer and cite a source it did not actually use.Bridging Static and Agentic RAG for Taiwanese Historical Question Answering
Agentic retrieval-augmented generation (RAG) enables language models to adapt retrieval based on previously retrieved evidence, but it remains unclear whether such adaptive orchestration…From Concept Alignment to Causal Grounding: An Intervention Test of Chain-of-Thought Faithfulness
Chain-of-thought (CoT) can sound plausible yet be unfaithful to the model's underlying reasoning.Tutoring Large Language Models to be Domain-adaptive, Precise and Safe
This thesis proposes a framework for "responsible intelligence" to address AI's critical challenges in safety, ethics, and cultural sensitivity.Directing large language models to follow the letter or spirit of the law
The distinction between the spirit and letter of the law is a central issue across research and everyday life, and a growing concern for building safe, intelligent machines.OmniEdu: Open Foundation Models for Learning and Teaching
Educational foundation models must solve problems, understand curriculum structure, diagnose learner difficulties, and provide appropriate instructional support.Chronologic: Measuring Language Models' Ability to Represent the Past
Language models are appealing tools for research on the past.Low resource cross-modal alignment using HGNN to enhance speech representation
Speech-text space alignment is a multimodal representation learning method consisting to map different speech and text into a shared representation space, leading to enrichment of the representation…LLMs as Linguistic Chameleons: Decoupling Semantics and Structure for Privacy-Preserving Communication
As Large Language Model (LLM) APIs become increasingly integrated into privacy-sensitive workflows, ensuring inference-time privacy without compromising task utility remains a major challenge.Enhancing speech representation learning with cross-modal knowledge transfer with HGNN under low resource settings: the case study of Yemba
Acoustic representation learning is crucial for speech processing, yet low-resource languages (LRLs) face severe data scarcity, limiting the effectiveness of traditional and self-supervised methods.Euston: Training Away Mathematical Sycophancy Without Losing the Mathematics
Reasoning language models are trained to produce solutions, not to refuse them, and this bias persists when the problem they are handed is false.ChemCLIR-Bench: Benchmarking Cross-Lingual Information Retrieval in Multilingual Chemical Patents
Cross-lingual information retrieval (CLIR) is increasingly important in multi-national industries, where critical technical evidence may exist in a different language than the query.SoK: Formal Methods for Fact-Checking and Information Integrity
An automated fact-checking system returns a label: the claim is true, or it is false.Not All Irregularity Is Equal: Causally Isolating a Rare Failure Mode in Japanese Morphological Inflection
Neural morphological generation systems often achieve high aggregate accuracy on benchmark datasets, yet such performance can conceal systematic errors clustered in rare morphological subclasses.