Large Language Models

FormulaSPIN: Self-Play Fine-Tuning for Natural Language to Spreadsheet Formula Generation ACL 2026 For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs ACL 2026 Frame-Semantic Knowledge Injection for Event-Level Inference in LLMs ACL 2026 Framing Political Bias in Multilingual LLMs Across Pakistani Languages ACL 2026 Frankentext: Stitching random text fragments into long-form narratives ACL 2026 FregeLogic at SemEval 2026 Task 11: A Hybrid Neuro-Symbolic Architecture for Content-Robust Syllogistic Validity Prediction SemEval 2026 From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment ACL 2026 From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction ACL 2026 From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control ACL 2026 From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan ACL 2026 From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization ACL 2026 From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs ACL 2026 From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026 From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization ACL 2026 From Inheritance to Saturation: Disentangling the Evolution of Visual Redundancy for Architecture-Aware MLLM Inference Acceleration ACL 2026 From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models ACL 2026 From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent ACL 2026 From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language ACL 2026 From log 𝜋 to 𝜋: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight ACL 2026 From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context ACL 2026 From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models ACL 2026 From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines ACL 2026 From Selection to Refinement: Iterative Optimization for Instruction Data ACL 2026 From TextBlob to LLM Agents: Sentiment Model Selection for B2B Technical Support with CSAT Ground Truth ACL 2026 From Trajectories to Graphs: Contract-Checked Editing for Verifier-Guided LLM Reasoning ACL 2026