Dialect
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Related Articles from SNS
Side-by-side Comparison Amplifies Dialect Bias in Language Models
Announce Type: replace Abstract: Language models (LMs) can exhibit biases based on variations in their dialects, even in the absence of a dialect label, a behavior known as covert dialect bias. In this work, we quantify covert dialect bias in online discourse by evaluating how LMs associate stereotypical traits (derived from social psychology research on racial bias) with intent-equivalent tweets in Standard American English (SAE) and African-American Vernacular English (AAVE). While prior...
The Generator-Eraser Paradox: Community Guidelines for Responsible LLM-Assisted Dialect Resource Creation
Announce Type: new Abstract: Dialect resources occupy a unique position at the intersection of scientific description, cultural preservation, and computational infrastructure. Large language models offer powerful capabilities for accelerating dialect resource development through retrieval-grounded drafting, corpus navigation, metadata enrichment, and annotation workflow support. However, the same systems pose substantial risks: they can contribute to dialect erasure by privileging prestige...
UniQL: Towards Dialect-Universal Benchmarking for Text-to-SQL
arXiv:2606.08018v1 Announce Type: new Abstract: Existing text-to-SQL benchmarks are largely centered on SQLite, making it difficult to evaluate whether models can generalize across heterogeneous SQL dialects. However, real-world database systems differ substantially in syntax, functions, type systems, and execution semantics, so the same natural language intent often requires dialect-specific SQL realizations.
SNN-MLIR: An MLIR Dialect for Compiling Neuromorphic SNNs from NIR to Bare-Metal C
arXiv:2606.09213v1 Announce Type: new Abstract: Spiking neural networks (SNNs) are increasingly trained in a wide range of frameworks (SnnTorch, Lava, Norse, and others) each with its own model format. The Neuromorphic Intermediate Representation (NIR) addresses this fragmentation by providing a common, framework-independent format for exchanging trained SNN models. NIR solves the exchange problem, but it stops there.
TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs
arXiv:2606.09030v1 Announce Type: new Abstract: Clinical early warning systems built on electronic health records, in which clinical observations are recorded as irregularly sampled medical time series (ISMTS), must deliver both calibrated risk scores for patient triage and interpretable rationales that clinicians can verify. Large Language Models (LLMs) have been explored for this task, yet they collapse graded clinical risk into overconfident binary predictions. This risk polarization...
QUARE: Quality-Aware Requirements Analysis through Multi-Agent Dialectical Negotiation
Announce Type: replace Abstract: Automating requirements quality analysis remains challenging because multiple, often conflicting quality attributes must be balanced while preserving stakeholder intent. Existing Large-Language-Model (LLM) approaches predominantly rely on task-oriented decomposition or implicit aggregation, limiting their ability to systematically surface and resolve cross-quality conflicts. We present QUARE (QUality-Aware REquirements Analysis), a multi-agent framework that...
How AI Fails: An Interactive Pedagogical Tool for Demonstrating Dialectal Bias in Automated Toxicity Models
arXiv:2511.06676v3 Announce Type: replace Abstract: Now that AI-driven moderation has become pervasive in everyday life, we often hear claims that "the AI is biased". While this is often said jokingly, the light-hearted remark reflects a deeper concern. How can we be certain that an online post flagged as "inappropriate" was not simply the victim of a biased algorithm?
ProSPy: A Profiling-Driven SQL-Python Agentic Framework for Enterprise Text-to-SQL
arXiv:2606.05836v1 Announce Type: new Abstract: Large language models have substantially advanced Text-to-SQL systems, yet applying them to enterprise-scale databases remains challenging. Real-world databases often contain large and heterogeneous schemas, incomplete metadata, dialect-specific SQL syntax, and complex analytical questions that are difficult to solve with a single SQL query. To address these challenges, we propose ProSPy, a Profiling-driven SQL--Python agentic framework for...
Venice's growing flamingo population finds refuge in recovering wetlands
Venice's growing flamingo population finds refuge in recovering wetlands Andrew Zinin Lead Editor Perhaps nothing better illustrates the flamingo's status as a newcomer to the Venetian Lagoon than the fact that the local dialect has no word for them. But the pale pink birds—called "fenicotteri" in Italian—are now flocking to Venice in record numbers, as ecological efforts to restore damaged wetlands could help expand their habitat and possibly induce them to nest in the lagoon.
A flamboyance of flamingos flocks to Venice Lagoon thanks to EU wetlands restoration project
24,000 pink flamingos were spotted in the famous lagoon in 2025 - 6,000 more than in 2024. Perhaps nothing better illustrates the flamingo’s status as a newcomer to the Venetian Lagoon than the fact that the local dialect has no word for them. But the pale pink birds – called ‘fenicotteri’ in Italian – are now flocking to Venice in record numbers, as ecological efforts to restore damaged wetlands could help expand their habitat and possibly induce them to nest in the lagoon.