Top Research Papers on LLM Models

This work firstly converts the input image into multiple suitable text-based abstraction spaces, then utilises the associative power of LLMs to derive the input-output relationship and map this to actions in the form of a working program, similar to Voyager / Ghost in the MineCraft.

This work presents LLM fundamentals, including model architecture, pre-training, fine-tuning, inference and utilization, model evaluation, and telecom deployment, and introduces LLM-enabled key techniques and telecom applications in terms of generation, classification, optimization, and prediction problems.

Large Language ModelsIn the latest edition of Stats, STAT!, Fralick and colleagues explain the statistics behind large language models - used in chat bots like ChatGPT and Bard. While these new tools may seem remarkably intelligent, at their core they just assemble sentences based on statistics from large amounts of text.

It is suggested that large language models can effectively extract genomic characteristics from unstructured reports and can potentially improve genomic literacy among prostate cancer patients by providing easy-to-interpret variant summaries, however, targeted prompting may be required to increase lexical diversity for improved engagement.

LLaSM is an end-to-end trained large multi-modal speech-language model with cross- modal conversational abilities, capable of following speech-and-language instructions.

It is argued that the importance of representation as well as multi-modality are likely key to making the new generation of systems more powerful, usable, accessible and utile for all.

This essay argues that such failures—so-called hallucinations—are not accidental glitches but are instead a by-product of the design of the transformer architecture on which large language models are built, given its foundation on the distributional hypothesis, a nonreferential approach to meaning.

The LLM-powered chatbots’ advice on help to a non-breathing victim omits essential details of resuscitation technique and occasionally contains deceptive, potentially harmful directives.

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Innovation such as domain-specific LLMs, LLM-as-a-Service (LLMaaS), and advancements in explainable AI (XAI) to enhance transparency and accessibility are examined to address challenges of large language models adoption.

GPT-4 performed well on lower-order as well as higher-order questions, making ChatGPT-4 a potentially very useful tool for reviewing radiology exam questions, and Radiologists should be aware of ChatGPT's limitations, including its tendency to confidently provide incorrect responses.

It is implausible to think that LLMs possess communicative desires and perform speech acts, yet it is implausible not to think that LLMs possess communicative desires and perform speech acts.

The use of large language models (LLMs) is now spreading in several areas of research and development. This work is concerned with systematically reviewing LLMs’ involvement in engineering education. Starting from a general research question, two queries were used to select 370 papers from the literature. Filtering them through several inclusion/exclusion criteria led to the selection of 20 papers. These were investigated based on eight dimensions to identify areas of engineering disciplines that involve LLMs, where they are most present, how this involvement takes place, and which LLM-based t...

An innovative framework is introduced, crafted to assess and amplify ALM' productivity in electronic hardware design and signal a positive shift in the mechanization of hardware design operations, illuminating ALMs' aptitude in tackling complex technical domains.

Interacting with a contemporary LLM-based conversational agent can create an illusion of being in the presence of a thinking creature, yet such systems are fundamentally not like us.

This work presents a method which further expands the capabilities of an LLM by embedding it within an algorithm or program, and presents an illustrative example of evidence-supported question-answering.

An electronic survey for students across North American medical colleges to gauge their views on and current use of ChatGPT and similar technologies found that 96% of respondents had heard of ChatGPT and 52% had used it for medical school coursework.

The LLMs studied show competence comparable to that of medical specialists in the interpretation of clinical reports, even in complex and confusingly worded texts, and represent a preferred option over human analysis for data mining and structuring information in extensive sets of clinical reports.

The findings indicate that this approach successfully addresses the challenges posed by increasingly human-like text generated by advanced LLMs, offering a promising solution for maintaining digital content integrity.

A hybrid approach that combines the strengths of open-source large and small-scale language models (LLMs and LMs) with traditional forecasting methods, outperforming existing methods by significant margins in terms of forecast accuracy.