Co-occurring keywords · papers mentioning both
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