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Nlp

[D] Self-Promotion Thread

Please post your personal projects, startups, product placements, collaboration needs, blogs etc. Please mention the payment and pricing ...

Reddit - Machine Learning · 1 min ·
Llms

How I cut ~$220/month from redundant AI tools, the exact quarterly audit process I use

A few months ago I finally sat down and audited every AI subscription my team was paying for. Turns out we were quietly burning roughly $...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

2026 Advanced Deep Learning Projects

As a hiring manager who’s been deep in the 2026 market, I wanted to share some real insights + a video I found that the community might f...

Reddit - ML Jobs · 1 min ·

All Content

[2602.22935] A Holistic Framework for Robust Bangla ASR and Speaker Diarization with Optimized VAD and CTC Alignment
Machine Learning

[2602.22935] A Holistic Framework for Robust Bangla ASR and Speaker Diarization with Optimized VAD and CTC Alignment

This paper presents a robust framework for Bangla Automatic Speech Recognition (ASR) and Speaker Diarization, addressing challenges in pr...

arXiv - AI · 3 min ·
[2602.22873] Learning Tangent Bundles and Characteristic Classes with Autoencoder Atlases
Nlp

[2602.22873] Learning Tangent Bundles and Characteristic Classes with Autoencoder Atlases

This paper introduces a framework connecting multi-chart autoencoders with vector bundles and characteristic classes, enhancing manifold ...

arXiv - AI · 3 min ·
[2602.22871] Test-Time Scaling with Diffusion Language Models via Reward-Guided Stitching
Llms

[2602.22871] Test-Time Scaling with Diffusion Language Models via Reward-Guided Stitching

The paper presents a novel framework called Stitching Noisy Diffusion Thoughts, which enhances reasoning in large language models by comb...

arXiv - AI · 4 min ·
[2602.23312] Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction
Llms

[2602.23312] Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction

This paper evaluates the effectiveness of small language models (SLMs) in leader-follower interactions, comparing zero-shot and one-shot ...

arXiv - Machine Learning · 4 min ·
[2602.23295] ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
Machine Learning

[2602.23295] ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation

The paper presents ManifoldGD, a training-free framework for dataset distillation using hierarchical manifold guidance, improving efficie...

arXiv - Machine Learning · 4 min ·
[2602.22828] TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought
Llms

[2602.22828] TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought

The article presents TCM-DiffRAG, a novel reasoning framework for Traditional Chinese Medicine (TCM) that enhances diagnosis through know...

arXiv - AI · 4 min ·
[2602.23234] Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
Llms

[2602.23234] Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments

This article discusses a novel approach to enhancing app store ranking by integrating LLM-generated textual relevance labels with behavio...

arXiv - Machine Learning · 4 min ·
[2602.23197] Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
Llms

[2602.23197] Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models

This paper explores the impact of fine-tuning on in-context learning in linear attention models, revealing conditions that can enhance or...

arXiv - Machine Learning · 3 min ·
[2602.22790] Natural Language Declarative Prompting (NLD-P): A Modular Governance Method for Prompt Design Under Model Drift
Llms

[2602.22790] Natural Language Declarative Prompting (NLD-P): A Modular Governance Method for Prompt Design Under Model Drift

The paper introduces Natural Language Declarative Prompting (NLD-P), a governance method for prompt design that addresses challenges pose...

arXiv - AI · 4 min ·
[2602.22787] Probing for Knowledge Attribution in Large Language Models
Llms

[2602.22787] Probing for Knowledge Attribution in Large Language Models

This article explores knowledge attribution in large language models (LLMs), focusing on how to identify the source of information that l...

arXiv - AI · 4 min ·
[2602.22775] TherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation
Ai Startups

[2602.22775] TherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation

The paper introduces TherapyProbe, a methodology for enhancing relational safety in mental health chatbots through adversarial simulation...

arXiv - AI · 3 min ·
[2602.23061] MoDora: Tree-Based Semi-Structured Document Analysis System
Nlp

[2602.23061] MoDora: Tree-Based Semi-Structured Document Analysis System

MoDora is a novel LLM-powered system designed for analyzing semi-structured documents, addressing challenges in information retrieval and...

arXiv - Machine Learning · 4 min ·
[2602.22740] AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation
Machine Learning

[2602.22740] AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation

The paper presents AMLRIS, a novel training strategy for Referring Image Segmentation (RIS) that enhances object segmentation through ali...

arXiv - AI · 3 min ·
[2602.22735] Simulation-based Optimization for Augmented Reading
Machine Learning

[2602.22735] Simulation-based Optimization for Augmented Reading

This article presents a novel approach to augmented reading systems, proposing a simulation-based optimization framework that enhances te...

arXiv - AI · 3 min ·
[2602.22724] AgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context Purification
Llms

[2602.22724] AgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context Purification

AgentSentry introduces a novel framework to mitigate indirect prompt injection (IPI) in LLM agents, enhancing their security while mainta...

arXiv - AI · 4 min ·
[2602.22716] SoPE: Spherical Coordinate-Based Positional Embedding for Enhancing Spatial Perception of 3D LVLMs
Llms

[2602.22716] SoPE: Spherical Coordinate-Based Positional Embedding for Enhancing Spatial Perception of 3D LVLMs

The paper presents SoPE, a novel Spherical Coordinate-Based Positional Embedding method aimed at improving the spatial perception capabil...

arXiv - AI · 4 min ·
[2602.22698] Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs
Llms

[2602.22698] Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs

This paper presents KGT, a novel framework addressing the granularity mismatch between large language models (LLMs) and knowledge graphs ...

arXiv - AI · 4 min ·
[2602.22697] Reinforcing Real-world Service Agents: Balancing Utility and Cost in Task-oriented Dialogue
Llms

[2602.22697] Reinforcing Real-world Service Agents: Balancing Utility and Cost in Task-oriented Dialogue

The paper presents InteractCS-RL, a novel framework for enhancing task-oriented dialogue systems by balancing empathetic communication an...

arXiv - AI · 3 min ·
[2602.22895] SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization
Machine Learning

[2602.22895] SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization

SPD Learn is a new Python library designed for geometric deep learning, specifically for neural decoding using symmetric positive definit...

arXiv - Machine Learning · 3 min ·
[2602.22678] ViCLIP-OT: The First Foundation Vision-Language Model for Vietnamese Image-Text Retrieval with Optimal Transport
Llms

[2602.22678] ViCLIP-OT: The First Foundation Vision-Language Model for Vietnamese Image-Text Retrieval with Optimal Transport

ViCLIP-OT introduces a novel vision-language model tailored for Vietnamese image-text retrieval, outperforming existing models in low-res...

arXiv - AI · 4 min ·
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