Natural Language Processing

Text understanding and language tasks

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Nlp

[P] Using YouTube as a data source (lessons from building a coffee domain dataset)

I started working on a small coffee coaching app recently - something that could answer questions around brew methods, grind size, extrac...

Reddit - Machine Learning · 1 min ·
[2601.13227] Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?
Llms

[2601.13227] Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?

Abstract page for arXiv paper 2601.13227: Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?

arXiv - AI · 3 min ·
[2601.22440] AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations
Llms

[2601.22440] AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations

Abstract page for arXiv paper 2601.22440: AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Value...

arXiv - AI · 4 min ·

All Content

[2602.07075] LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
Llms

[2602.07075] LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

Abstract page for arXiv paper 2602.07075: LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

arXiv - Machine Learning · 4 min ·
[2601.23236] YuriiFormer: A Suite of Nesterov-Accelerated Transformers
Llms

[2601.23236] YuriiFormer: A Suite of Nesterov-Accelerated Transformers

Abstract page for arXiv paper 2601.23236: YuriiFormer: A Suite of Nesterov-Accelerated Transformers

arXiv - Machine Learning · 3 min ·
[2512.04551] Multi-Loss Learning for Speech Emotion Recognition with Energy-Adaptive Mixup and Frame-Level Attention
Machine Learning

[2512.04551] Multi-Loss Learning for Speech Emotion Recognition with Energy-Adaptive Mixup and Frame-Level Attention

Abstract page for arXiv paper 2512.04551: Multi-Loss Learning for Speech Emotion Recognition with Energy-Adaptive Mixup and Frame-Level A...

arXiv - AI · 3 min ·
[2509.08177] Quadrotor Navigation using Reinforcement Learning with Privileged Information
Nlp

[2509.08177] Quadrotor Navigation using Reinforcement Learning with Privileged Information

Abstract page for arXiv paper 2509.08177: Quadrotor Navigation using Reinforcement Learning with Privileged Information

arXiv - AI · 3 min ·
[2511.21033] Towards Trustworthy Legal AI through LLM Agents and Formal Reasoning
Llms

[2511.21033] Towards Trustworthy Legal AI through LLM Agents and Formal Reasoning

Abstract page for arXiv paper 2511.21033: Towards Trustworthy Legal AI through LLM Agents and Formal Reasoning

arXiv - AI · 4 min ·
[2510.08966] Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Language Models
Llms

[2510.08966] Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Language Models

Abstract page for arXiv paper 2510.08966: Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Lang...

arXiv - AI · 4 min ·
[2506.07915] A Signal Contract for Online Language Grounding and Discovery in Decision-Making
Nlp

[2506.07915] A Signal Contract for Online Language Grounding and Discovery in Decision-Making

Abstract page for arXiv paper 2506.07915: A Signal Contract for Online Language Grounding and Discovery in Decision-Making

arXiv - AI · 4 min ·
[2505.04997] Foam-Agent: Towards Automated Intelligent CFD Workflows
Llms

[2505.04997] Foam-Agent: Towards Automated Intelligent CFD Workflows

Abstract page for arXiv paper 2505.04997: Foam-Agent: Towards Automated Intelligent CFD Workflows

arXiv - AI · 3 min ·
[2404.16721] Distilling Privileged Information for Dubins Traveling Salesman Problems with Neighborhoods
Machine Learning

[2404.16721] Distilling Privileged Information for Dubins Traveling Salesman Problems with Neighborhoods

Abstract page for arXiv paper 2404.16721: Distilling Privileged Information for Dubins Traveling Salesman Problems with Neighborhoods

arXiv - Machine Learning · 3 min ·
[2603.05504] RoboPocket: Improve Robot Policies Instantly with Your Phone
Nlp

[2603.05504] RoboPocket: Improve Robot Policies Instantly with Your Phone

Abstract page for arXiv paper 2603.05504: RoboPocket: Improve Robot Policies Instantly with Your Phone

arXiv - Machine Learning · 4 min ·
[2603.05471] Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
Llms

[2603.05471] Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval

Abstract page for arXiv paper 2603.05471: Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval

arXiv - AI · 4 min ·
[2603.05438] Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
Machine Learning

[2603.05438] Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model

Abstract page for arXiv paper 2603.05438: Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model

arXiv - AI · 3 min ·
[2603.05210] Balancing Coverage and Draft Latency in Vocabulary Trimming for Faster Speculative Decoding
Llms

[2603.05210] Balancing Coverage and Draft Latency in Vocabulary Trimming for Faster Speculative Decoding

Abstract page for arXiv paper 2603.05210: Balancing Coverage and Draft Latency in Vocabulary Trimming for Faster Speculative Decoding

arXiv - Machine Learning · 4 min ·
[2603.05167] C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning
Llms

[2603.05167] C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning

Abstract page for arXiv paper 2603.05167: C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reas...

arXiv - AI · 3 min ·
[2603.05114] UniPAR: A Unified Framework for Pedestrian Attribute Recognition
Machine Learning

[2603.05114] UniPAR: A Unified Framework for Pedestrian Attribute Recognition

Abstract page for arXiv paper 2603.05114: UniPAR: A Unified Framework for Pedestrian Attribute Recognition

arXiv - AI · 4 min ·
[2603.05057] MUTEX: Leveraging Multilingual Transformers and Conditional Random Fields for Enhanced Urdu Toxic Span Detection
Machine Learning

[2603.05057] MUTEX: Leveraging Multilingual Transformers and Conditional Random Fields for Enhanced Urdu Toxic Span Detection

Abstract page for arXiv paper 2603.05057: MUTEX: Leveraging Multilingual Transformers and Conditional Random Fields for Enhanced Urdu Tox...

arXiv - AI · 4 min ·
[2603.04910] VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory
Nlp

[2603.04910] VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory

Abstract page for arXiv paper 2603.04910: VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory

arXiv - Machine Learning · 4 min ·
[2603.04890] FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation
Machine Learning

[2603.04890] FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation

Abstract page for arXiv paper 2603.04890: FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation

arXiv - Machine Learning · 4 min ·
[2603.04811] Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation
Machine Learning

[2603.04811] Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation

Abstract page for arXiv paper 2603.04811: Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation

arXiv - AI · 3 min ·
[2603.04805] Attention's Gravitational Field:A Power-Law Interpretation of Positional Correlation
Llms

[2603.04805] Attention's Gravitational Field:A Power-Law Interpretation of Positional Correlation

Abstract page for arXiv paper 2603.04805: Attention's Gravitational Field:A Power-Law Interpretation of Positional Correlation

arXiv - AI · 3 min ·
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