TechcraftingAI NLP

By Brad Edwards

TechcraftingAI NLP brings you daily summaries of the latest arXiv Computation and Language research.... more

· Technology

Download on the App Store

Download on the App Store

Get it on Google Play

FAQs about TechcraftingAI NLP:

How many episodes does TechcraftingAI NLP have?

The podcast currently has 271 episodes available.

TechcraftingAI NLP episodes:

November 06, 2023Ep. 41 - November 3, 2023
arXiv research summaries for Computation and Language from November 3, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Developing methods to make large language models more interpretable and explainable

Studying prompt engineering techniques to improve few-shot learning with large language models

Evaluating cross-lingual transfer learning methods for low-resource languages

Analyzing model biases and proposing techniques to mitigate demographic and framing biases

Benchmarking large language models on complex multimodal tasks like editing PowerPoint slides
...more
42min
November 03, 2023Ep. 40 - November 2, 2023
arXiv research summaries for Computation and Language from November 2, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Enhancing NLP models with external knowledge through techniques like prompting and knowledge injection.

Analyzing model performance on challenging linguistic examples that reveal nuances like syntactic dependencies or semantic inconsistencies.

Developing methods to control model behavior, like refusal mechanisms and evaluating consistency.

Leveraging generative capabilities for applications like data augmentation and topic modeling.

Adapting models to new domains/languages, via transfer learning and multitask training.
...more
34min
November 02, 2023Ep. 39 - November 1, 2023
arXiv research summaries for Computation and Language from November 1, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Evaluating and improving biases and safety issues in large language models.

Using large language models for summarization and generation.

Developing better evaluation metrics for language tasks.

Applying large language models to multilingual and low-resource languages.

Improving language models with explicit linguistic knowledge.
...more
37min
November 01, 2023Ep. 38 - October 31, 2023
arXiv research summaries for Computation and Language from October 31, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Improving reasoning abilities of large language models through techniques like learning from mistakes.

Evaluating capabilities of large language models through games, analogies, and psychological assessments.

Building better sentiment analysis systems using non-compositional phrases.

Transporting causal effects between text domains for valid causal inference.

Analyzing contents of large text corpora for quality, inclusion, and contamination.
...more
1h 5min
November 01, 2023Ep. 37 - October 30, 2023
arXiv research summaries for Computation and Language from October 30, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Improving natural language processing through novel large language model architectures and training techniques.

Using large language models for knowledge extraction and retrieval applications.

Evaluating and analyzing the capabilities and limitations of large language models.

Leveraging large language models for personalized systems and recommendations.

Applying large language models to domain-specific language tasks like clinical NLP and biomedical NLP.
...more
1h 5min
October 31, 2023Ep. 36 - October 29, 2023
arXiv research summaries for Computation and Language from October 29, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Mitigating bias in large language models.

Improving emotion and etiquette understanding in LLMs.

Novel model architectures for complex named entity recognition.

Ensembling and stacking models for improved AI text detection.

Simplifying the smart reply pipeline with end-to-end retrieval.
...more
8min
October 31, 2023Ep. 35 - October 28, 2023
arXiv research summaries for Computation and Language from October 28, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Improving efficiency and reducing computational costs of large language models through methods like early exiting and knowledge distillation.

Developing new datasets and models for low-resource languages and cross-lingual transfer, including for tasks like speech recognition and machine translation.

Detecting and mitigating biases in language models, including human-like biases that propagate from pre-trained models to downstream tasks like speech emotion recognition.

Advancing narrative and relational understanding capabilities of language models through new tasks, datasets and modular approaches.

Enhancing reasoning across modalities in language models, with a focus on integrating visual information from images with text for knowledge extraction and medical question answering.
...more
32min
October 30, 2023Ep. 34 - October 27, 2023
arXiv research summaries for Computation and Language from October 27, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Large Language Models: Pushing the Limits of Understanding

Code-Switching NLP: New Frontiers in Multilingual AI

Exposing Misinformation: Automated Fact-Checking Techniques

Conversational Agents Get a Makeover: Personas and Persuasion

Reading Between the Lines: Advances in Machine Comprehension
...more
44min
October 27, 2023Ep. 33 - October 26, 2023
arXiv research summaries for Computation and Language from October 26, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Advances in large language models through fine-tuning, prompting, and quantization. Examples include HuggingFace LLaMA, custom prompting for ChatGPT, and quantizing models down to 4 bits.

Analyzing capabilities and limitations of large language models on reasoning, commonsense, and factual knowledge tasks. Papers probe model knowledge in areas like theory of mind, spatial reasoning, and stumpers.

Improving natural language processing applications with techniques like contrastive learning, targeted pretraining, and reinforcement learning from human feedback. Areas include intent detection, question answering, summarization.

Evaluating bias, fairness, transparency, and ethics of large language models and datasets. Analyzing issues like occupational stereotypes, licensing and attribution of training data, and fairness-explainability tradeoffs.

Enabling multilinguality, cross-linguality, and transfer learning. Examples include cross-lingual transfer for low-resource languages, code embeddings across programming languages, and continual learning for multilingual ASR.
...more
52min
October 26, 2023Ep. 32 - October 25, 2023
arXiv research summaries for Computation and Language from October 25, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.

Today's Theme (LLM-Generated)
Evaluating capabilities and limitations of large language models (LLMs) like ChatGPT and GPT-4 through tasks such as reasoning, summarization, and parsing.

Improving alignment and control of LLMs through techniques like reinforcement learning from human feedback, supervised iterative learning, and contextualized prompt optimization.

Enhancing fairness, interpretability, and transparency of models through bias mitigation, rationale extraction, and pretraining data detection.

Advancing multilingual and multimodal models through pretraining, benchmarking, and adapting models like mBERT to new languages and modalities.

Quantization and efficiency improvements for deploying large models through methods like post-training 4-bit floating point quantization.
...more
1h 4min

FAQs about TechcraftingAI NLP:

How many episodes does TechcraftingAI NLP have?

The podcast currently has 271 episodes available.