conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Large Language Models

6,405 papers

Papers per year

Papers

RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs NAACL 2025
StoC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering NAACL 2025
EKRAG: Benchmark RAG for Enterprise Knowledge Question Answering NAACL 2025
Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs NAACL 2025
A Novel Multi-Document Retrieval Benchmark: Journalist Source-Selection in Newswriting NAACL 2025
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning NAACL 2025
Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation NAACL 2025
Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented Reasoning NAACL 2025
Expertly Informed, Generatively Summarized: A Hybrid RAG Approach to Informed Consent Summarization with Auxiliary Expert Knowledge NAACL 2025
ClaimCheck: Automatic Fact-Checking of Textual Claims using Web Evidence NAACL 2025
Can dependency parses facilitate generalization in language models? A case study of cross-lingual relation extraction NAACL 2025
DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems NAACL 2025
Evaluating LLM-Prompting for Sequence Labeling Tasks in Computational Literary Studies NAACL 2025
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers NAACL 2025
Prompting the Past: Exploring Zero-Shot Learning for Named Entity Recognition in Historical Texts Using Prompt-Answering LLMs NAACL 2025
LLMs for Translation: Historical, Low-Resourced Languages and Contemporary AI Models NAACL 2025
Optimizing Cost-Efficiency with LLM-Generated Training Data for Conversational Semantic Frame Analysis NAACL 2025
Don’t stop pretraining! Efficiently building specialised language models in resource-constrained settings. NAACL 2025
Enhance Contextual Learning in ASR for Endangered Low-resource Languages NAACL 2025
Empowering Low-Resource Languages: TraSe Architecture for Enhanced Retrieval-Augmented Generation in Bangla NAACL 2025
ABDUL: A New Approach to Build Language Models for Dialects Using Formal Language Corpora Only NAACL 2025
Enhanced Zero-Shot Machine Translation via Fixed Prefix Pair Bootstrapping NAACL 2025
PahGen: Generating Ancient Pahlavi Text via Grammar-guided Zero-shot Translation NAACL 2025
Probing Internal Representations of Multi-Word Verbs in Large Language Models NAACL 2025
Using LLMs to Advance Idiom Corpus Construction NAACL 2025