LLMs show spontaneous persuasion, improve RAG, and detect neologisms

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 8 sources

Researchers have developed a pipeline to automatically detect neologisms, or new words, by combining rule-based filtering with LLM classification on a large dataset of Reddit posts. Another study explores "spontaneous persuasion" in LLMs, finding they frequently employ information-based strategies in everyday conversations, differing from human tendencies to use social influence tactics. Additionally, a framework using LLM-based "customer digital twins" has been proposed to create virtual respondents for market research, accurately predicting user preferences with 87.73% accuracy. AI

Summary written by gemini-2.5-flash-lite from 8 sources. How we write summaries →

IMPACT These papers explore novel applications of LLMs in linguistic analysis, market research, and conversational AI, potentially influencing how we understand and interact with AI.

RANK_REASON The cluster contains multiple academic papers detailing new research methodologies and findings.

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COVERAGE [8]

arXiv cs.CL TIER_1 · Yuqing Li, Jiangnan Li, Mo Yu, Zheng Lin, Weiping Wang, Jie Zhou · 2026-05-08 04:00

MiA-Signature: Approximating Global Activation for Long-Context Understanding

arXiv:2605.06416v1 Announce Type: new Abstract: A growing body of work in cognitive science suggests that reportable conscious access is associated with \emph{global ignition} over distributed memory systems, while such activation is only partially accessible as individuals canno…
arXiv cs.CL TIER_1 · Diego Rossini, Lonneke van der Plas · 2026-05-08 04:00

From 124 Million Tokens to 1,021 Neologisms: A Large-Scale Pipeline for Automatic Neologism Detection

arXiv:2605.06426v1 Announce Type: new Abstract: We present a scalable, modular pipeline for automatic neologism detection that combines rule-based filtering with LLM classification. The pipeline is grounded in two complementary word-formation frameworks, grammatical and extra-gra…
arXiv cs.CL TIER_1 · Lonneke van der Plas · 2026-05-07 15:32

From 124 Million Tokens to 1,021 Neologisms: A Large-Scale Pipeline for Automatic Neologism Detection

We present a scalable, modular pipeline for automatic neologism detection that combines rule-based filtering with LLM classification. The pipeline is grounded in two complementary word-formation frameworks, grammatical and extra-grammatical morphology, which jointly define the sc…
arXiv cs.CL TIER_1 · Jie Zhou · 2026-05-07 15:25

MiA-Signature: Approximating Global Activation for Long-Context Understanding

A growing body of work in cognitive science suggests that reportable conscious access is associated with \emph{global ignition} over distributed memory systems, while such activation is only partially accessible as individuals cannot directly access or enumerate all activated con…
arXiv cs.CL TIER_1 · Jan Buchmann, Iryna Gurevych · 2026-04-29 04:00

Citation Failure: Definition, Analysis and Efficient Mitigation

arXiv:2510.20303v3 Announce Type: replace Abstract: Citations from LLM-based RAG systems are supposed to simplify response verification. However, this goal is undermined in cases of citation failure, where a model generates a helpful response, but fails to generate citations to c…
arXiv cs.AI TIER_1 · Bin Xuan, Jungmin Hwang, Hakyeon Lee · 2026-04-28 04:00

Your Reviews Replicate You: LLM-Based Agents as Customer Digital Twins for Conjoint Analysis

arXiv:2604.22756v1 Announce Type: cross Abstract: Conjoint analysis is a cornerstone of market research for estimating consumer preferences; however, traditional methods face persistent challenges regarding time, cost, and respondent fatigue. To address these limitations, this st…
arXiv cs.CL TIER_1 · Nalin Poungpeth, Nicholas Clark, Tanu Mitra · 2026-04-27 04:00

Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

arXiv:2604.22109v1 Announce Type: cross Abstract: Large language models (LLMs) possess strong persuasive capabilities that outperform humans in head-to-head comparisons. Users report consulting LLMs to inform major life decisions in relationships, medical settings, and when seeki…
arXiv cs.CL TIER_1 · Tanu Mitra · 2026-04-23 23:01

Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

Large language models (LLMs) possess strong persuasive capabilities that outperform humans in head-to-head comparisons. Users report consulting LLMs to inform major life decisions in relationships, medical settings, and when seeking professional advice. Prior work measures persua…

COVERAGE [8]

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