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 23, 2023Ep. 59 - November 22, 2023
arXiv NLP research summaries for November 22, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Enhancing hallucination detection in large language models via uncertainty modeling and focused token analysis

Evaluating calibration of aligned language models across training stages and tasks

Optimizing open-source LLM instruction tuning through automatic dataset enhancement

Comparing accuracy metrics for automated medical report generation

Mitigating LLM hallucinations by incorporating factual knowledge graphs
...more
18min
November 22, 2023Ep. 58 - November 21, 2023
arXiv NLP research summaries for November 21, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Detecting machine-generated text to avoid misuse and properly attribute authorship

Evaluating language models on multilingual tasks including low-resource and code-mixed languages

Developing metrics to evaluate synthetic text generation quality and variability

Enhancing language models with specialized domains like chemistry and math

Pursuing algorithmic fairness in text classification across demographic groups
...more
23min
November 21, 2023Ep. 57 - November 20, 2023
arXiv NLP research summaries for November 20, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Domain adaptation and transfer learning for language models

Investigating safety and robustness of language models

Improving efficiency of language model finetuning

Leveraging language models for text analysis tasks

Contextual and multilingual language models
...more
29min
November 21, 2023Ep. 56 - November 19, 2023
arXiv NLP research summaries for November 19, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Mitigating unintended bias in controlled text generation

Evaluating large language models for mental health applications

Detecting faked and misspelled Chinese characters

Generating stories using event and context features

Annotating hierarchical document clusters
...more
15min
November 21, 2023Ep. 55 - November 18, 2023
arXiv NLP research summaries for November 18, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Gender detection through name analysis

Multimodal emotion recognition

Efficient word representations for language models

Modular transfer learning techniques

Predicting student comprehension from brain signals and text
...more
16min
November 20, 2023Ep. 54 - November 17, 2023
arXiv NLP research summaries for November 17, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Improving domain-specific capabilities of large language models through knowledge mining and fine-tuning

Comparing human and AI capabilities in reading comprehension and reasoning

Analyzing internal mechanisms and biases in transformer models

Aligning embeddings for low-resource languages

Developing better datasets and models for safety-critical tasks like misinformation and threat detection
...more
21min
November 17, 2023Ep. 53 - Part 2 - November 16, 2023
arXiv research summaries for Computation and Language from November 16, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Evaluating LLMs on reasoning capabilities, instruction following and understanding complexity (e.g. math reasoning tests, temporal understanding)

Improving LLMs through pretraining techniques and prompting methods (e.g. sample selection strategies, controlling prompts)

Assessing generalization capabilities and bias in LLM evaluations (e.g. evaluating on diverse topics/datasets, test contamination)

Applying LLMs to enhance or generate text (e.g. summarization, translation, text generation from brain signals)

Analyzing vulnerabilities and ethical concerns around LLMs (e.g. jailbreaking attacks, evaluating safety)
...more
57min
November 17, 2023Ep. 53 - Part 1 - November 16, 2023
arXiv research summaries for Computation and Language from November 16, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Prompting strategies and optimizations for improving in-context learning in large language models

Evaluating reasoning, consistency, and faithfulness in large language models through testing frameworks and diagnostic datasets

Detecting and mitigating biases in large language models across domains like law, science, and politics

Enhancing large language model capabilities for specialized domains like programming, chemistry, and medicine

Studying large language model capabilities and limitations in open-ended tasks like story understanding, creative problem solving, and modeling human dynamics
...more
59min
November 16, 2023Ep. 52 - Part 2 - November 15, 2023
arXiv research summaries for Computation and Language from November 15, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Today's research themes (AI summary)
Improving multilingual capabilities of large language models through techniques like tuning strategies.

Detecting and mitigating bias and hallucination issues in large language models.

Enhancing reasoning and factual accuracy of large language models through methods like retrieval augmentation.

Evaluating and analyzing abstraction abilities of large language models using benchmarks.

Developing controllable text summarization techniques tailored to user needs and constraints.
...more
47min
November 16, 2023Ep. 52 - Part 1 - November 15, 2023
arXiv research summaries for Computation and Language from November 15, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Another big research day!

Today's research themes (AI summary)
Evaluating language grounding and physical reasoning in multimodal language models

Assessing knowledge editing capabilities of language models from a relation perspective

Identifying limitations of in-context learning, especially for specification-heavy tasks

Analyzing gender bias in machine translation from gender-neutral languages

Developing methods to estimate confidence and quantify uncertainty in language model predictions
...more
57min

FAQs about TechcraftingAI NLP:

How many episodes does TechcraftingAI NLP have?

The podcast currently has 271 episodes available.