ArXiv NLP research summaries for May 31, 2024.
00:20 FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores
01:37 Leveraging Large Language Models for Entity Matching
02:27 Reward-based Input Construction for Cross-document Relation Extraction
03:40 Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
05:04 DORY: Deliberative Prompt Recovery for LLM
06:18 Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement
07:35 It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance
08:59 FinGen: A Dataset for Argument Generation in Finance
09:42 Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario
11:26 Multilingual Text Style Transfer: Datasets & Models for Indian Languages
13:01 An iterated learning model of language change that mixes supervised and unsupervised learning
14:01 Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment
15:29 That's Optional: A Contemporary Exploration of "that" Omission in English Subordinate Clauses
16:18 Don't Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models
17:20 Improving Reward Models with Synthetic Critiques
18:29 Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning
19:49 clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents
21:05 A comparison of correspondence analysis with PMI-based word embedding methods
22:05 Large Language Models: A New Approach for Privacy Policy Analysis at Scale
23:36 Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
24:22 Learning to Estimate System Specifications in Linear Temporal Logic using Transformers and Mamba
25:48 OR-Bench: An Over-Refusal Benchmark for Large Language Models
27:20 Superlatives in Context: Explicit and Implicit Domain Restrictions for Superlative Frames
28:41 SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
30:33 Towards a Fluid computer
31:33 You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet
33:01 LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models
35:02 Direct Alignment of Language Models via Quality-Aware Self-Refinement
36:19 Code Pretraining Improves Entity Tracking Abilities of Language Models