Knowledge graphs meet multi-modal learning: A comprehensive survey
Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
Understanding llms: A comprehensive overview from training to inference
The introduction of ChatGPT has led to a significant increase in the utilization of Large
Language Models (LLMs) for addressing downstream tasks. There's an increasing focus on …
Language Models (LLMs) for addressing downstream tasks. There's an increasing focus on …
Self-prompting large language models for zero-shot open-domain QA
Open-Domain Question Answering (ODQA) aims to answer questions without explicitly
providing specific background documents. This task becomes notably challenging in a zero …
providing specific background documents. This task becomes notably challenging in a zero …
Learning to filter context for retrieval-augmented generation
On-the-fly retrieval of relevant knowledge has proven an essential element of reliable
systems for tasks such as open-domain question answering and fact verification. However …
systems for tasks such as open-domain question answering and fact verification. However …
Funqa: Towards surprising video comprehension
Surprising videos, eg, funny clips, creative performances, or visual illusions, attract
significant attention. Enjoyment of these videos is not simply a response to visual stimuli; …
significant attention. Enjoyment of these videos is not simply a response to visual stimuli; …
Large language models are temporal and causal reasoners for video question answering
Large Language Models (LLMs) have shown remarkable performances on a wide range of
natural language understanding and generation tasks. We observe that the LLMs provide …
natural language understanding and generation tasks. We observe that the LLMs provide …
Hagrid: A human-llm collaborative dataset for generative information-seeking with attribution
The rise of large language models (LLMs) had a transformative impact on search, ushering
in a new era of search engines that are capable of generating search results in natural …
in a new era of search engines that are capable of generating search results in natural …
Sequential recommendation with latent relations based on large language model
Sequential recommender systems predict items that may interest users by modeling their
preferences based on historical interactions. Traditional sequential recommendation …
preferences based on historical interactions. Traditional sequential recommendation …
Can llms master math? investigating large language models on math stack exchange
A Satpute, N Gießing, A Greiner-Petter… - Proceedings of the 47th …, 2024 - dl.acm.org
Large Language Models (LLMs) have demonstrated exceptional capabilities in various
natural language tasks, often achieving performances that surpass those of humans …
natural language tasks, often achieving performances that surpass those of humans …
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Instruction-following models are attractive alternatives to fine-tuned approaches for question
answering (QA). By simply prepending relevant documents and an instruction to their input …
answering (QA). By simply prepending relevant documents and an instruction to their input …