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Foundation Models

4,845 papers

Papers per year

Papers

Improving LLM Generations via Fine-Grained Self-Endorsement ACL 2024
StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code ACL 2024
Exploring Domain Robust Lightweight Reward Models based on Router Mechanism ACL 2024
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024
Outdated Issue Aware Decoding for Factual Knowledge Editing ACL 2024
Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots ACL 2024
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024
Evaluating Large Language Model Biases in Persona-Steered Generation ACL 2024
DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics ACL 2024
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification ACL 2024
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages ACL 2024
ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models ACL 2024
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm ACL 2024
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey ACL 2024
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ACL 2024
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence ACL 2024
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction ACL 2024
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion ACL 2024
Poor-Supervised Evaluation for SuperLLM via Mutual Consistency ACL 2024
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models ACL 2024
Efficient Training of Language Models with Compact and Consistent Next Token Distributions ACL 2024
Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models ACL 2024
Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation ACL 2024