12 stories tagged with #mitigating, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Mitigating Scaffolding Collapse in Socratic Tutors via Representation Alignment
arXiv:2607.19371v1 Announce Type: new Abstract: Large language model (LLM)-based Socratic tutors increasingly guide students through multi-turn questioning, but they can suffer fro…
Anchor: Mitigating Artifact Drift in Agent Benchmark Generation
AI agents are beginning to complete valuable, long-horizon business operations tasks, but training and evaluation environments for enterprise work still struggle to balance realism…
From Static Context to Calibrated Interactive RL: Mitigating Distribution Shift in Multi-turn Dialogue with Aligned Simulator
A long-standing goal of the research community is to develop highly interactive LLM-based dialogue agents. Recent research focuses on optimizing policies based on fixed offline log…
Identifying and Mitigating Systemic Measurement Bias in Production LLM Inference Benchmarks
As Large Language Models (LLMs) transition from research environments to production deployments, evaluating their performance against strict Service Level Objectives (SLOs) has bec…
Understanding and Mitigating Premature Confidence for Better LLM Reasoning
Long chains of thought (CoT) from current language models frequently contain logical gaps and unjustified leaps, limiting the gains from additional test-time compute. Improving rea…
Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models
Backtesting large language models (LLMs) on historical financial data is unreliable because pre-training cuts off after the events happened. An LLM trained in 2024 already "knows" …
Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration
The generation of factually incorrect objects, commonly known as object hallucination, remains a persistent challenge in Large Vision-Language Models (LVLMs). Current approaches to…
# Mitigating Market Inefficiency in eSports: A Stochastic Approach to EA Sports FC25 Modeling
### By Bettrails Data Lab *Technical Classification: Data Science / Predictive Modeling / Sports...…
Mitigating prompt injections in group-chat assistants: Pausing VM and OAuth tool execution for admin approvals
Mitigating DDoS-like AI (?) crawling of APIs
A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation
Reasoning-based Large Language Models (LLMs) like PO4ISR have set new benchmarks in session-based recommendation. However, the reproducibility of their reasoning capabilities acros…
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
Hard-thresholding is an important type of algorithm in machine learning that is used to solve $\ell_0$ constrained optimization problems. However, the true gradient of the objectiv…