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conftrace_

instruction fine-tuning

120 papers

IFT

Papers

Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs EACL 2026 DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management ACL 2026 Helios: A Foundational Language Model for Smart Energy Knowledge Reasoning and Application EACL 2026 looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning SemEval 2026 TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs AAAI 2026 Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning ACL 2026 UniBO at MWE-2026 PARSEME 2.0 Subtask 2: A Cross-lingual Approach to Multiword Expression Paraphrasing EACL 2026 AA-SLLM: An Acoustically Augmented Speech Large Language Model for Speech Emotion Recognition Interspeech 2025 Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection NAACL 2025 AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment EMNLP 2025 A Pipeline to Assess Merging Methods via Behavior and Internals EMNLP 2025 ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation ACL 2025 A Scalable Framework for Legal Text Understanding in Regulatory and Financial Contexts. COLING 2025 Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency AAAI 2025 COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning NAACL 2025 Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance ICLR 2025 DELIFT: Data Efficient Language model Instruction Fine-Tuning ICLR 2025 E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025 EventRelBench: A Comprehensive Benchmark for Evaluating Event Relation Understanding in Large Language Models EMNLP 2025 From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs? EMNLP 2025 Identifying Noise in Human-Created Datasets using Training Dynamics from Generative Models EMNLP 2025 Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities EMNLP 2025 Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs EMNLP 2025 Instituto de Telecomunicações at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning ACL 2025 Instruction-tuned QwenChart for Chart Question Answering ACL 2025