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

[2602.01023] Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

This paper presents a unified framework for Query Auto-Completion (QAC) that integrates Retrieval-Augmented Generation (RAG) and multi-ob...

[2601.23232] ShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search

ShotFinder introduces a novel benchmark for open-domain video shot retrieval, utilizing LLMs to enhance video search capabilities through...

[2511.20974] RosettaSpeech: Zero-Shot Speech-to-Speech Translation without Parallel Speech

RosettaSpeech introduces a zero-shot framework for speech-to-speech translation, overcoming the need for parallel speech data by using mo...

[2601.14172] Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum

This article explores the detection of 19 human values in sentences using transformer models, demonstrating the learnability of moral pre...

[2601.12522] Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition

The paper presents CogniGent, a novel AI technique for bug localization that enhances traditional methods by leveraging causal reasoning ...

[2601.09982] Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG

This article presents a hybrid framework for improving neural machine translation performance in low-resource languages, specifically add...

[2512.13697] Writing in Symbiosis: Mapping Human Creative Agency in the AI Era

This article explores the evolving relationship between human creativity and AI, particularly in writing, highlighting how authors adapt ...

[2512.05430] ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering

ArtistMus introduces a benchmark for music question answering, leveraging a diverse dataset to enhance retrieval-augmented generation mod...

[2512.04552] RRPO: Robust Reward Policy Optimization for LLM-based Emotional TTS

The paper presents Robust Reward Policy Optimization (RRPO), a novel framework designed to enhance emotional text-to-speech (TTS) systems...

[2509.19665] Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy

This article presents a study on deep learning techniques for detecting clouds and cloud shadows in methane satellite and airborne imagin...

[2509.18129] Pareto-optimal Trade-offs Between Communication and Computation with Flexible Gradient Tracking

This paper presents FlexGT, a method for optimizing distributed stochastic problems by balancing communication and computation, achieving...

[2511.01228] Importance Ranking in Complex Networks via Influence-aware Causal Node Embedding

This paper presents a novel framework for ranking node importance in complex networks using influence-aware causal node embedding, enhanc...

[2511.01144] AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence

The paper presents AthenaBench, a dynamic benchmark designed to evaluate large language models (LLMs) in the context of Cyber Threat Inte...

[2510.22876] Batch Speculative Decoding Done Right

The paper presents a novel framework for batch speculative decoding, addressing critical failures in existing methods and achieving signi...

[2510.09424] The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach

This paper presents a comparative study of context management strategies for end-to-end Spoken Dialogue State Tracking using Speech-LLMs,...

[2506.06964] Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization

This article presents a novel approach to offline reinforcement learning (RL) using reward-weighted fine-tuning, enhancing conversation o...

[2505.23522] OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data

The article introduces OmniEarth-Bench, a comprehensive benchmark for evaluating interactions across Earth's six spheres using multimodal...

[2510.02356] Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark

This article presents EAPrivacy, a benchmark for evaluating the physical-world privacy awareness of large language models (LLMs), reveali...

[2509.23519] ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search

The paper introduces ReliabilityRAG, a framework designed to enhance the robustness of Retrieval-Augmented Generation (RAG) systems again...

[2503.00187] Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks

This paper presents a safety steering framework to enhance the robustness of large language models (LLMs) against multi-turn jailbreaking...