The proceedings contain 1003 papers. The topics discussed include: are LLMs good annotators for discourse-level event relation extraction?;transferability of syntax-aware graph neural networks in zero-shot cross-lingu...
ISBN:
(纸本)9798891761681
The proceedings contain 1003 papers. The topics discussed include: are LLMs good annotators for discourse-level event relation extraction?;transferability of syntax-aware graph neural networks in zero-shot cross-lingual semantic role labeling;should cross-lingual AMR parsing go meta? an empirical assessment of meta-learning and joint learning AMR parsing;general collaborative framework between large language model and experts for universal information extraction;SEAVER: attention reallocation for mitigating distractions in language models for conditional semantic textual similarity measurement;search if you don’t know! knowledge-augmented Korean grammatical error correction with large language models;and InsertGNN: a hierarchical graph neural network for the TOEFL sentence insertion problem.
The proceedings contain 6 papers. The topics discussed include: enhancing LLM capabilities beyond scaling up;countering hateful and offensive speech online - open challenges;language agents: foundations, prospects, an...
ISBN:
(纸本)9798891761698
The proceedings contain 6 papers. The topics discussed include: enhancing LLM capabilities beyond scaling up;countering hateful and offensive speech online - open challenges;language agents: foundations, prospects, and risks;introductory tutorial: reasoning with naturallanguage explanations;AI for science in the era of large language models;and human-centered evaluation of language technologies.
The proceedings contain 121 papers. The topics discussed include: optimizing entity resolution in voice interfaces: an ASR-aware entity reference expansion approach;two-tiered encoder-based hallucination detection for...
ISBN:
(纸本)9798891761667
The proceedings contain 121 papers. The topics discussed include: optimizing entity resolution in voice interfaces: an ASR-aware entity reference expansion approach;two-tiered encoder-based hallucination detection for retrieval-augmented generation in the wild;the program testing ability of large language models for code;salient information prompting to steer content in prompt-based abstractive summarization;predicting entity salience in extremely short documents;salient information prompting to steer content in prompt-based abstractive summarization;predicting entity salience in extremely short documents;don’t shoot the breeze: topic continuity model using nonlinear naive bayes with attention;and retrieval augmented spelling correction for e-commerce applications.
The proceedings contain 52 papers. The topics discussed include: FreeEval: a modular framework for trustworthy and efficient evaluation of large language models;i-code studio: a configurable and composable framework f...
ISBN:
(纸本)9798891761674
The proceedings contain 52 papers. The topics discussed include: FreeEval: a modular framework for trustworthy and efficient evaluation of large language models;i-code studio: a configurable and composable framework for integrative AI;Evalverse: unified and accessible library for large language model evaluation;medico: towards hallucination detection and correction with multi-source evidence fusion;OpenOmni: a collaborative open source tool for building future-ready multimodal conversational agents;TruthReader: towards trustworthy document assistant chatbot with reliable attribution;commentator: a code-mixed multilingual text annotation framework;and Arxiv Copilot: a self-evolving and efficient LLM system for personalized academic assistance.
The proceedings contain 1268 papers. The topics discussed include: UniGen: universal domain generalization for sentiment classification via zero-shot dataset generation;Multi-News+: cost-efficient dataset cleansing vi...
ISBN:
(纸本)9798891761643
The proceedings contain 1268 papers. The topics discussed include: UniGen: universal domain generalization for sentiment classification via zero-shot dataset generation;Multi-News+: cost-efficient dataset cleansing via LLM-based data annotation;FIZZ: factual inconsistency detection by zoom-in summary and zoom-out document;table question answering for low-resourced Indic languages;LLM-based agent society investigation: collaboration and confrontation in Avalon gameplay;when LLMs meets acoustic landmarks: an efficient approach to integrate speech into large language models for depression detection;speaking in wavelet domain: a simple and efficient approach to speed up speech diffusion model;eyes don’t lie: subjective hate annotation and detection with gaze;and ThinkingFair and Slow: on the efficacy of structured prompts for debiasing language models.
The proceedings contain 6 papers. The topics discussed include: meaning representations for naturallanguages: design, models and applications;Arabic naturallanguageprocessing;emergent language-based coordination in...
ISBN:
(纸本)9781959429302
The proceedings contain 6 papers. The topics discussed include: meaning representations for naturallanguages: design, models and applications;Arabic naturallanguageprocessing;emergent language-based coordination in deep multi-agent systems;CausalNLP tutorial: an introduction to causality for naturallanguageprocessing;modular and parameter-efficient fine-tuning for NLP models;and non-autoregressive models for fast sequence generation.
The proceedings contain 6 papers. The topics discussed include: NLP+Vis: NLP meets visualization;security challenges in naturallanguageprocessing models;designing, evaluating, and learning from humans interacting wi...
The proceedings contain 6 papers. The topics discussed include: NLP+Vis: NLP meets visualization;security challenges in naturallanguageprocessing models;designing, evaluating, and learning from humans interacting with NLP models;LLM-driven instruction following: progresses and concerns;mitigating societal harms in large language models;and creative naturallanguage generation.
The proceedings contain 6 papers. The topics discussed include: crowdsourcing beyond annotation: case studies in benchmark data collection;financial opinion mining;knowledge-enriched naturallanguage generation;multi-...
ISBN:
(纸本)9781955917124
The proceedings contain 6 papers. The topics discussed include: crowdsourcing beyond annotation: case studies in benchmark data collection;financial opinion mining;knowledge-enriched naturallanguage generation;multi-domain multilingual question answering;robustness and adversarial examples in naturallanguageprocessing;and syntax in end-to-end naturallanguageprocessing.
The proceedings contain 7 papers. The topics discussed include: machine reasoning: technology, dilemma and future;fact-checking, fake news, propaganda, and media bias: truth seeking in the post-truth era;interpreting ...
ISBN:
(纸本)9781952148613
The proceedings contain 7 papers. The topics discussed include: machine reasoning: technology, dilemma and future;fact-checking, fake news, propaganda, and media bias: truth seeking in the post-truth era;interpreting predictions of NLP models;high performance naturallanguageprocessing;representation, learning and reasoning on spatial language for downstream NLP tasks;simultaneous translation;and the amazing world of neural language generation.
The proceedings contain 7 papers. The topics discussed include: inside-outside and forward-backward algorithms are just backprop;research on attention memory networks as a model for learning naturallanguage inference...
ISBN:
(纸本)9781945626296
The proceedings contain 7 papers. The topics discussed include: inside-outside and forward-backward algorithms are just backprop;research on attention memory networks as a model for learning naturallanguage inference;a joint model of rhetorical discourse structure and summarization;posterior regularization for joint modelling of multiple structured prediction tasks with soft constraints;a study of imitation learning methods for semantic role labeling;introducing DRAIL: a step towards declarative deep relational learning;and unsupervised neural hidden Markov models.
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