title stringlengths 45 132 | paper_text stringlengths 11.6k 38.1k | citations sequencelengths 14 84 |
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EconLogicQA: A Question-Answering Benchmark for Evaluating
Large Language Models in Economic Sequential Reasoning | EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning Abstract In this paper, we introduce EconLogicQA, a rig- orous benchmark designed to assess the sequen- tial reasoning capabilities of large language models (LLMs) within the intricate realms of economics, ... | [
"Yi: Open Foundation Models by 01.AI",
"AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability",
"CLadder: Assessing Causal Reasoning in Language Models",
"STEPS: A Benchmark for Order Reasoning in Sequential Tasks",
"GPT-4 Technical Report",
"LLaMA: Open and Efficient Found... |
Major Entity Identification:
A Generalizable Alternative to Coreference Resolution | Major Entity Identification: A Generalizable Alternative to Coreference Resolution Abstract The limited generalization of coreference reso- lution (CR) models has been a major bottleneck in the task’s broad application. Prior work has identified annotation differences, especially for mention detection, as one of the ma... | [
"Code Pretraining Improves Entity Tracking Abilities of Language Models",
"GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres",
"Code Llama: Open Foundation Models for Code",
"Are Large Language Models Robust Coreference Resolvers?",
"Coreference Resolution through a seq2seq Transiti... |
Instance-Level Dynamic LoRAs Composition for Cross-Task
Generalization | Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization Abstract Large language models perform well on tasks that have undergone fine-tuning of instructions, but their performance to completely unseen tasks is often less than ideal. To overcome the challenge of cross-task generalization, task- level LoRA... | [
"Towards Modular LLMs by Building and Reusing a Library of LoRAs",
"Scalable Language Model with Generalized Continual Learning",
"Online Adaptation of Language Models with a Memory of Amortized Contexts",
"LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks",
"LoraRetriever: Input-... |
Leveraging pre-trained language models for linguistic analysis:
A case of argument structure constructions | Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions Abstract This study evaluates the effectiveness of pre- trained language models in identifying argu- ment structure constructions, important for modeling both first and second language learn- ing. We examine three... | [
"Span Identification of Epistemic Stance-Taking in Academic Written English",
"Assessing the potential of LLM-assisted annotation for corpus-based pragmatics and discourse analysis",
"Is GPT-3 a Good Data Annotator?",
"Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic Investigation",
"La... |
M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection | M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection Abstract Fact-checking claims is a highly laborious task that involves understanding how each factual assertion within the claim relates to a set of trusted source materials. Existing approaches make sample-level predictions but fail to iden- tify the s... | [
"LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation",
"Video-LLaVA: Learning United Visual Representation by Alignment Before Projection",
"Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models",
"Llama 2: Open Foun... |
Exploring the Best Practices of Query Expansion with Large Language
Models | Exploring the Best Practices of Query Expansion with Large Language Models Abstract Large Language Models (LLMs) are founda- tional in language technologies, particularly in information retrieval (IR). Previous stud- ies have utilized LLMs for query expansion, achieving notable improvements in IR. In this paper, we tho... | [
"Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?",
"Fine-Tuning LLaMA for Multi-Stage Text Retrieval",
"When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets",
"Large Language Models for Information Retrieval: A Survey... |
Explicit Memory Learning with Expectation Maximization | Explicit Memory Learning with Expectation Maximization Abstract Large Language Models (LLMs) have revo- lutionized the landscape of natural language processing, demonstrating remarkable abilities across various complex tasks. However, their stateless nature limits the capability to retain information across interaction... | [
"The Llama 3 Herd of Models",
"A Survey on Large Language Models for Code Generation",
"A Survey on the Memory Mechanism of Large Language Model based Agents",
"Memory Sharing for Large Language Model based Agents",
"Efficient Prompting Methods for Large Language Models: A Survey",
"Understanding LLMs: A ... |
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes | "Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes Abstract Detecting offensive me(...TRUNCATED) | ["SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution","Are self-explan(...TRUNCATED) |
mPLUG-DocOwl 1.5: Unified Structure Learning
for OCR-free Document Understanding | "mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding Abstract Structure(...TRUNCATED) | ["MM-LLMs: Recent Advances in MultiModal Large Language Models","ChartAssisstant: A Universal Chart (...TRUNCATED) |
FoodieQA: A Multimodal Dataset for Fine-Grained
Understanding of Chinese Food Culture | "FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture Abstract Food(...TRUNCATED) | ["Benchmarking Vision Language Models for Cultural Understanding","MANTIS: Interleaved Multi-Image I(...TRUNCATED) |
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