Computation and Language

Papers filed under cs.CL on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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15,181 to 15,240 of 19,058

A Grapheme-Aware Indic Tokenizer for Tamil: Large-Scale Training and Intrinsic Evaluation
Hari Krishnan K V, Sudarsun Santhiappan
cs.CLarXiv:2609.06690v12026
Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis
Akshat Gupta
cs.CLcs.AIcs.GTarXiv:2308.12466v22023
A Self-Evolving Multi-Agent Framework Defense against LLM Jailbreak Attacks
Tongyan Hu, Bryan Hooi
cs.CRcs.CLarXiv:2608.26008v12026
Less is More: Adaptive Program Repair with Bug Localization and Preference Learning
Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao +5
cs.SEcs.CLarXiv:2503.06510v12025
MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets
Lai Wei, Xiaozhe Li, Zihao Jiang +2
cs.LGcs.AIcs.CLarXiv:2308.12067v32023
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg, Dimitris Tsipras, Percy Liang +1
cs.CLcs.LGarXiv:2208.01066v32022
Augmenting Language Models with Long-Term Memory
Weizhi Wang, Li Dong, Hao Cheng +4
cs.CLarXiv:2306.07174v12023
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
Ruochen Zhao, Xingxuan Li, Shafiq Joty +2
cs.CLarXiv:2305.03268v12023
Direct speech-to-speech translation with a sequence-to-sequence model
Ye Jia, Ron J. Weiss, Fadi Biadsy +4
cs.CLcs.LGcs.SDarXiv:1904.06037v22019
ReHoPER: Receding-Horizon Planning for Enhanced Reasoning
Saeed Ahmadnia, Cornelia Caragea
cs.CLcs.AIcs.LGarXiv:2610.00940v12026
LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning
Junyi Lu, Lei Yu, Xiaojia Li +2
cs.SEcs.CLcs.LGarXiv:2308.11148v22023
Depth-Adaptive Transformer
Maha Elbayad, Jiatao Gu, Edouard Grave +1
cs.CLcs.LGarXiv:1910.10073v42019
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao +2
cs.CLcs.CVarXiv:2306.05179v22023
RecurSE: Bounded Recursive Self-Evaluation for LLM Rubric Judges
Kaiyuan Liu, Ziyuan Zhuang, Rongxiang Weng +1
cs.CLarXiv:2608.24231v12026
Taming Knowledge Conflicts in Language Models
Gaotang Li, Yuzhong Chen, Hanghang Tong
cs.CLcs.LGarXiv:2503.10996v22025
Gemini: A Family of Highly Capable Multimodal Models
Gemini Team, Rohan Anil, Sebastian Borgeaud +1348
cs.CLcs.AIcs.CVarXiv:2312.11805v52023
Summaries:한국어
Efficient Task Adaptation in Large Language Models: A Survey of Weight-Based, Prompt-Based, and Embedding-Based Adaptations
Jungwon Park, Changin Choi, Jimyeong Kim +2
cs.CLarXiv:2610.00928v12026
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
Pradeep Dasigi, Kyle Lo, Iz Beltagy +3
cs.CLarXiv:2105.03011v12021
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
Mintong Kang, Nezihe Merve Gürel, Ning Yu +2
cs.AIcs.CLcs.IRarXiv:2402.03181v52024
KinyaEmbed: Contrastive Sentence Embeddings for Kinyarwanda via Multi-Stage Curriculum Training
Ireddi Rakshitha, Devavarapu Yashwanth, Ntakirutimana Pierre
cs.CLarXiv:2608.26941v12026
SWE-RM: Execution-free Feedback For Software Engineering Agents
KaShun Shum, Binyuan Hui, Jiawei Chen +6
cs.CLarXiv:2512.21919v12025
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
John Joon Young Chung, Ece Kamar, Saleema Amershi
cs.CLarXiv:2306.04140v12023
Large Language Models can Strategically Deceive their Users when Put Under Pressure
Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn
cs.CLcs.AIcs.LGarXiv:2311.07590v42023
Large Language Model Orchestration under Heterogeneous Preferences via Explicit Persona Inference
Shuqing Shi, Ziyan Wang, Milind Tambe +1
cs.CLarXiv:2610.07587v12026
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Keming Lu, Hongyi Yuan, Zheng Yuan +5
cs.CLcs.AIcs.LGarXiv:2308.07074v22023
Understanding Undesirable Word Embedding Associations
Kawin Ethayarajh, David Duvenaud, Graeme Hirst
cs.CLarXiv:1908.06361v22019
Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech
Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroglu +1
cs.CLcs.CYarXiv:2107.08720v12021
DeBERTa-ConPara: Attack-Aware and Deployment-Realistic Detection of AI-Generated Text
Mohamed Mady, Yupei Li, Johannes Reschke +1
cs.CLcs.CRarXiv:2610.00883v12026
Train Overcomplete, Deploy Compact: Scaling Recovery Capacity for Structured LLM Pruning
Seungmin Oh, Donggeon Lee, Jongbin Ryu
cs.CLcs.AIarXiv:2609.06974v12026
DarkBench: Benchmarking Dark Patterns in Large Language Models
Esben Kran, Hieu Minh "Jord" Nguyen, Akash Kundu +3
cs.CLcs.AIcs.CYarXiv:2503.10728v12025
Agents Explore but Agents Ignore: LLMs Lack Environmental Curiosity
Leon Engländer, Sophia Althammer, Ahmet Üstün +2
cs.CLcs.LGarXiv:2604.17609v12026
Measuring Digital Labour Market Transitions with a Digital Semantic Score: An AI-Based Methodology Applied to the Dutch Labour Market
Sadegh Shahmohammadi, Xavier Pinho, Mairi Bowdler +2
cs.CLarXiv:2608.24222v12026
Multi-Perspective Context Matching for Machine Comprehension
Zhiguo Wang, Haitao Mi, Wael Hamza +1
cs.CLarXiv:1612.04211v12016
Unsupervised Domain Clusters in Pretrained Language Models
Roee Aharoni, Yoav Goldberg
cs.CLarXiv:2004.02105v22020
Science Utopia? Closed-Loop LLM Simulation of Academic Research Ecosystems
Yiqiao Jin, Yiyang Wang, Lucheng Fu +8
cs.CLcs.AIcs.CYarXiv:2610.01257v12026
Evaluation-as-Search: Adaptive Discovery of Grounding Failures in Meeting Assistants
Sami Khairy, Yasaman Hosseinkashi, Vishak Gopal +1
cs.CLcs.AIarXiv:2608.20392v12026
Get To The Point: Summarization with Pointer-Generator Networks
Abigail See, Peter J. Liu, Christopher D. Manning
cs.CLarXiv:1704.04368v22017
From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning
Weichen Dai, Rafael Medeiros Cabral, Ziyi Shou +4
cs.AIcs.CLarXiv:2609.10335v12026
AuraForge: Scaling Security Supervision for Training Coding Agents
Danqing Wang, Songwen Zhao, Harsh Sharma +4
cs.CRcs.CLcs.CYarXiv:2610.00850v12026
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
Zirui Liu, Jiayi Yuan, Hongye Jin +5
cs.CLcs.LGcs.PFarXiv:2402.02750v22024
HouseholdBench: Evaluating Large Language Models as Predictors of Household Economic Behavior
Jin Huang, Diego Ferreras Garrucho, Yutong Xie +4
cs.CLarXiv:2610.07563v12026
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
Eric Zelikman, Eliana Lorch, Lester Mackey +1
cs.CLcs.AIcs.LGarXiv:2310.02304v32023
Constraint-Guided Enterprise Data Mapping with Large Language Models
Sebastian Monka, Pramod Anantharam, Thien Vo Minh +1
cs.AIcs.CLarXiv:2608.24218v12026
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers
Xiaoyan Zhao, Yang Deng, Min Yang +6
cs.CLcs.AIarXiv:2306.02051v32023
UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design
Yuxuan Lu, Bingsheng Yao, Hansu Gu +7
cs.HCcs.CLarXiv:2502.12561v32025
PaperCompiler: Faithful Paper-to-Code Generation via Repository-Level Specification Compilation
Yunhao Liu, Hong Phuc Pham, Jaehong Yoon
cs.CLcs.AIcs.SEarXiv:2609.02272v12026
MTEB: Massive Text Embedding Benchmark
Niklas Muennighoff, Nouamane Tazi, Loïc Magne +1
cs.CLcs.IRcs.LGarXiv:2210.07316v32022
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav, Derek Tam, Leshem Choshen +2
cs.LGcs.AIcs.CLarXiv:2306.01708v22023
There Is More to Refusal in Large Language Models than a Single Direction
Faaiz Joad, Majd Hawasly, Sabri Boughorbel +2
cs.CLarXiv:2602.02132v12026
LLMs Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions
Xuhao Hu, Peng Wang, Xiaoya Lu +3
cs.CLcs.AIcs.CRarXiv:2510.08211v22025
CircuitLens: Reasoning Circuits as Data Selection Signals for Reinforcement Learning with Verifiable Rewards
Zhuofan Chen, Ziqian Jiao, Yikai Cui +3
cs.CLcs.LGarXiv:2609.07183v12026
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
Xuefei Ning, Zinan Lin, Zixuan Zhou +3
cs.CLcs.AIarXiv:2307.15337v32023
SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution
Hanlin Wang, Chak Tou Leong, Jiashuo Wang +2
cs.CLcs.LGarXiv:2505.20732v12025
Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models
Mimo Shirasaka, Haochen Zhang, Yonatan Bisk
cs.CVcs.CLcs.LGarXiv:2609.06880v12026
Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min, Victor Zhong, Richard Socher +1
cs.CLarXiv:1805.08092v12018
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
Xinyu Tang, Yuliang Zhan, Zhixun Li +5
cs.CLarXiv:2512.21625v12025
AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation
Junyang Wang, Yuhang Wang, Guohai Xu +8
cs.CLcs.CVarXiv:2311.07397v22023
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
Matteo Pagliardini, Amirkeivan Mohtashami, Francois Fleuret +1
cs.CLcs.LGarXiv:2402.02622v22024
DeepStory: Video Story QA by Deep Embedded Memory Networks
Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi +1
cs.CVcs.AIcs.CLarXiv:1707.00836v12017
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
Mingzhong Sun, Teresa Yeo, Armando Solar-Lezama +1
cs.AIcs.CLcs.LGarXiv:2606.01462v12026

Computation and Language

A Grapheme-Aware Indic Tokenizer for Tamil: Large-Scale Training and Intrinsic Evaluation

Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis

A Self-Evolving Multi-Agent Framework Defense against LLM Jailbreak Attacks

Less is More: Adaptive Program Repair with Bug Localization and Preference Learning

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Augmenting Language Models with Long-Term Memory

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework

Direct speech-to-speech translation with a sequence-to-sequence model

ReHoPER: Receding-Horizon Planning for Enhanced Reasoning

LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning

Depth-Adaptive Transformer

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models

RecurSE: Bounded Recursive Self-Evaluation for LLM Rubric Judges

Taming Knowledge Conflicts in Language Models

Gemini: A Family of Highly Capable Multimodal Models

Efficient Task Adaptation in Large Language Models: A Survey of Weight-Based, Prompt-Based, and Embedding-Based Adaptations

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

KinyaEmbed: Contrastive Sentence Embeddings for Kinyarwanda via Multi-Stage Curriculum Training

SWE-RM: Execution-free Feedback For Software Engineering Agents

Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions

Large Language Models can Strategically Deceive their Users when Put Under Pressure

Large Language Model Orchestration under Heterogeneous Preferences via Explicit Persona Inference

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

Understanding Undesirable Word Embedding Associations

Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech

DeBERTa-ConPara: Attack-Aware and Deployment-Realistic Detection of AI-Generated Text

Train Overcomplete, Deploy Compact: Scaling Recovery Capacity for Structured LLM Pruning

DarkBench: Benchmarking Dark Patterns in Large Language Models

Agents Explore but Agents Ignore: LLMs Lack Environmental Curiosity

Measuring Digital Labour Market Transitions with a Digital Semantic Score: An AI-Based Methodology Applied to the Dutch Labour Market

Multi-Perspective Context Matching for Machine Comprehension

Unsupervised Domain Clusters in Pretrained Language Models

Science Utopia? Closed-Loop LLM Simulation of Academic Research Ecosystems

Evaluation-as-Search: Adaptive Discovery of Grounding Failures in Meeting Assistants

Get To The Point: Summarization with Pointer-Generator Networks

From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning

AuraForge: Scaling Security Supervision for Training Coding Agents

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

HouseholdBench: Evaluating Large Language Models as Predictors of Household Economic Behavior

Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation

Constraint-Guided Enterprise Data Mapping with Large Language Models

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers

UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design

PaperCompiler: Faithful Paper-to-Code Generation via Repository-Level Specification Compilation

MTEB: Massive Text Embedding Benchmark

TIES-Merging: Resolving Interference When Merging Models

There Is More to Refusal in Large Language Models than a Single Direction

LLMs Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions

CircuitLens: Reasoning Circuits as Data Selection Signals for Reinforcement Learning with Verifiable Rewards

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models

Efficient and Robust Question Answering from Minimal Context over Documents

Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging

DeepStory: Video Story QA by Deep Embedded Memory Networks

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models