Natural Language Processing

McKinsey's AI Lie Explains What's Happening to Work

Everyone thinks McKinsey just built 25,000 AI experts. They didn't. They took a 35-year-old internal database, put a natural language int...

Midjourney has a new offer on the cancel page there is 20 off for 2 months

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Walmart CEO reportedly brags that company's in-app AI agent is making people spend 35% more money

[P] Utterance, an open source client-side semantic endpointing SDK for voice apps. We are looking for contributors.

Utterance is an open-source SDK designed to improve voice app interactions by addressing issues with pauses and interruptions, inviting c...

Indian AI lab Sarvam's new models are a major bet on the viability of open-source AI | TechCrunch

Indian AI lab Sarvam launches new large language models, including 30B and 105B parameter models, aiming to challenge foreign AI systems ...

Pulp Friction: When AI pushback targets you instead of your ideas.

The article explores how AI models, particularly in emotional contexts, can misinterpret human feelings, reshaping personal experiences i...

[D] Emergent self-correction in multi-agent LLM pipelines without explicit training

This article discusses a multi-agent pipeline using LLMs that demonstrated emergent self-correction behavior, improving task coverage thr...

[2601.15298] Embedding Retrofitting: Data Engineering for better RAG

This paper discusses embedding retrofitting, a technique that enhances pre-trained word vectors using knowledge graph constraints to impr...

[2601.01581] CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under Uncertainty

The paper presents CONSENT, a negotiation framework designed to optimize vehicle-to-building (V2B) charging by balancing the needs of bui...

[2510.22389] Can Small and Reasoning Large Language Models Score Journal Articles for Research Quality and Do Averaging and Few-shot Help?

This article evaluates the ability of small and reasoning large language models (LLMs) to assess journal article quality, revealing that ...

[2504.06438] Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning

The paper presents a novel framework for premise verification in large language models (LLMs) to reduce hallucinations by using retrieval...

[2503.07599] NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiences

NeuroChat is a neuroadaptive AI chatbot that personalizes learning experiences by integrating real-time EEG feedback to enhance engagemen...

[2408.00539] Intermittent Semi-Working Mask: A New Masking Paradigm for LLMs

The paper introduces the Intermittent Semi-Working Mask (ISM), a novel masking paradigm for Large Language Models (LLMs) that enhances mu...

[2407.03646] Differentiating Between Human-Written and AI-Generated Texts Using Automatically Extracted Linguistic Features

This article explores the differences between human-written and AI-generated texts by analyzing linguistic features, revealing significan...

[2602.12249] "Sorry, I Didn't Catch That": How Speech Models Miss What Matters Most

This paper examines the shortcomings of speech recognition models in accurately transcribing high-stakes utterances, particularly U.S. st...

[2511.15719] Chain of Summaries: Summarization Through Iterative Questioning

The paper presents 'Chain of Summaries' (CoS), a novel method for generating concise, information-dense summaries from web content, enhan...

[2511.07587] Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces

The paper presents a novel framework, Generative Semantic Workspace (GSW), designed to enhance long-context reasoning in Large Language M...

[2511.10853] Advanced Assistance for Traffic Crash Analysis: An AI-Driven Multi-Agent Approach to Pre-Crash Reconstruction

This article presents an AI-driven multi-agent framework for reconstructing traffic crash scenarios, enhancing the accuracy of pre-crash ...

[2510.11661] SR-Scientist: Scientific Equation Discovery With Agentic AI

The paper presents SR-Scientist, a framework that enhances Large Language Models (LLMs) to autonomously discover scientific equations, ou...

[2509.21199] A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA

This paper presents a theoretical framework establishing a Fano-style accuracy upper bound for single-pass reasoning in multi-hop questio...

[2509.00287] SIGMUS: Semantic Integration for Knowledge Graphs in Multimodal Urban Spaces

The paper presents SIGMUS, a system for semantic integration of multimodal data in urban environments, leveraging large language models t...

[2507.10134] FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring

The paper presents FRSICL, a novel method utilizing LLMs for optimizing UAV data collection in wildfire monitoring, enhancing efficiency ...

[2602.15814] Avey-B

The paper 'Avey-B' presents a reformulated architecture for Avey, an autoregressive, attention-free model, demonstrating superior perform...