query: Can you list some publications that discuss the evaluation metrics used in semantic role labeling tasks, specifically focusing on precision and evaluation scripts used in shared tasks like SemEval?

source: LitSearch


query: Can you point me towards research on contrastive learning methods used for fine-tuning sentence representations, where in-batch negatives may sometimes unintentionally be similar to the positive examples?

source: LitSearch


query: Can you recommend a foundational paper that provides a scalable framework for generating English sentences with controllable semantic and syntactic attributes for the purpose of augmenting datasets in NLP tasks?

source: LitSearch


query: Can you suggest recent studies that have integrated prompt fine-tuning into semi-supervised learning workflows for natural language understanding tasks?

source: LitSearch


query: Can you suggest some recent datasets that have been used for studying stance detection in tweets, particularly those targeting specific individuals and events since 2020?

source: LitSearch


query: Could you direct me towards a study that explores the potential to predict a reader's native language based on their eye movement patterns while reading English texts?

source: LitSearch


query: I'm searching for studies that explore advancements in dependency parsing, particularly using graph-to-graph transformers with iterative refinement processes. Which publications should I look into?

source: LitSearch


query: What are some recent advancements in training systems to parse complex multi-hop questions into a sequence of simpler query steps for improved question answering?

source: LitSearch


query: What papers should I refer to if I want to explore datasets and shared tasks designed for the purpose of fact verification using evidence from Wikipedia?

source: LitSearch


query: Are there any research papers investigating the improvement of radiology report summarization through the application of graph neural networks in conjunction with biomedical entity extraction?

source: LitSearch


query: Are there any studies on incorporating external commonsense knowledge into conversational models to enhance emotional support?

source: LitSearch


query: Can you recommend research that uses an LLM to generate better prompts/tempates given task input/output?

source: LitSearch


query: Could you recommend a study that investigates how a subset with clean, annotated datasets improve denoising methods?

source: LitSearch


query: Could you recommend research that explores identifying excess and insufficient translations in evaluating machine translation, especially regarding resolving label discrepancies in cases of omitted content?

source: LitSearch


query: Could you suggest a thorough comparative analysis or review of the performance of different pretrained transformer architectures, such as BERT, in text ranking applications?

source: LitSearch


query: Could you suggest research that examines how coreference resolution affects dialogue summarization quality?

source: LitSearch


query: Could you suggest research that examines the difficulties in employing weakly labeled datasets for named entity recognition and offers techniques to mitigate the associated data noise?

source: LitSearch


query: Could you suggest research that explores generating synthetic labels for sentences within a vast text collection to pre-train models for few-shot learning applications?

source: LitSearch


query: Has there been any work that improves the work on integrated gradients by leveraging interpolation strategies to improve gradient accuracies?

source: LitSearch


query: Have any research papers introduced a dedicated pre-training architecture designed to improve dense retrieval system efficacy?

source: LitSearch


query: Have any research papers investigated the creation of datasets through model-generated data for annotators to identify hallucinations in the results, specifically for developing diagnostic evaluation datasets?

source: LitSearch


query: Is there a dataset available for open-domain targeted sentiment analysis containing user reviews from platforms like Yelp and Amazon?

source: LitSearch


query: Is there any paper that tried fine-tuning mBERT to enhance word-level alignment in a multilingual setting?

source: LitSearch


query: What are some scholarly articles that explore the enhancement of dense retrieval in student models through the application of prediction distributions from teacher models?

source: LitSearch


query: What are the latest developments in conversational agents that integrate external knowledge sources and employ diverse tactics to offer emotional support during interactions?

source: LitSearch


query: What research exists on using reinforcement learning methods for event prediction in temporal knowledge graphs?

source: LitSearch


query: What techniques exist for efficiently fine-tuning transformer language models by adjusting a limited set of parameters?

source: LitSearch


query: Which method involves training additional prompt tokens for every layer during the fine-tuning of language models, specifically evaluating their performance on generation tasks?

source: LitSearch


query: ould you direct me to research that shows that the transfer of specialized knowledge between various ABSA tasks if trained under the same paradigm?

source: LitSearch


query: Are there any examples of using dense phrase retrieval systems in the automatic curation of entity dictionaries?

source: LitSearch


query: Is there a paper that uses Explainable AI techniques to investigate how language models represent the expression of morality?

source: LitSearch


query: Is there a tool that can automatically segment speech and the corresponding text transcriptions, to obtain a finer grained alignment?

source: LitSearch


query: Is there any paper that constructs augmented training data based on the entity-to-entity correlations?

source: LitSearch


query: Is there any paper that explores using only an encoder-only masked language model for open-ended long text generation (such as story generation)?

source: LitSearch


query: Is there any paper that utilizes masked language modeling to defend against word-level adversarial attacks?

source: LitSearch


query: Which knowledge graph completion method focuses on reducing memory usage by pruning features?

source: LitSearch


query: Which paper first introduced document content as an intermediate generation target and utilized textual document identifiers in generative retrieval?

source: LitSearch


query: Which paper first published a real-world Chinese-English text image translation dataset?

source: LitSearch


query: Which paper found that mutual learning benefits multlingual models?

source: LitSearch


query: Which paper investigates the influence of the diversity of source tasks on the performance of target tasks in prompt tuning using CrossFit?

source: LitSearch


query: Which paper proposes a memory-efficient optimizer considering the confidence of each update during the optimization?

source: LitSearch


query: Which paper showed that social relationships were helpful for identifying inappropriate messages?

source: LitSearch


query: Are there sequential learning guarantees for configuring a linear system solver under a distributional assumption on the systems' target vectors?

source: LitSearch


query: Can you find a dataset that shows LLM-based evaluation may not be reliable enough?

source: LitSearch


query: In video diffusion models, is there any paper that tried decomposing video instruction into sub instructions of different time?

source: LitSearch


query: Is there a paper which applies Bayesian optimization to modular continual learning?

source: LitSearch


query: What open-source dataset combined knowledge retrieval with constraint satisfaction queries?

source: LitSearch


query: What paper mitigates language model sampling errors due to the softmax bottleneck?

source: LitSearch


query: What research first proposed a new kind of cascaded diffusion of a Markov process?

source: LitSearch


query: What work proposes a model to learn a latent regular cell complex from data?

source: LitSearch