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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8,641 to 8,700 of 11,247

CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare +3
cs.CLcs.LGcs.PLarXiv:2305.07922v22023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Yun Luo, Zhen Yang, Fandong Meng +3
cs.CLarXiv:2308.08747v52023
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy +1
cs.CLarXiv:1506.01066v22015
Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses
Zhaochen Yu, Yingcheng Wu, Zhenfei Yin +5
cs.AIcs.CLarXiv:2608.24876v12026
Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
Anmol Goel, Cornelius Emde, Sangdoo Yun +2
cs.CLarXiv:2601.15220v22026
Memorization Dynamics in Knowledge Distillation for Language Models
Jaydeep Borkar, Karan Chadha, Niloofar Mireshghallah +6
cs.CLarXiv:2601.15394v22026
All four leading LLMs talk more than they listen to personality-verified synthetic help-seekers
Pablo A. Fonseca, Raquel Rodríguez-Carvajal, Rafael A. Calvo
cs.HCcs.CLcs.CYarXiv:2608.22425v12026
JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
Jiangshan Duo, Hanyu Li, Hailin Zhang +3
cs.CLcs.AIcs.LGarXiv:2601.08468v12026
Whitewashing Hate, Smearing Harmless Content: Annotator-Style Rebuttal Attacks on LLM-Based Moderation
Junyu Lu, Kaiyuan Liu, Jingyi Kang +7
cs.CLarXiv:2608.22230v12026
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Dhruv Shah, Blazej Osinski, Brian Ichter +1
cs.ROcs.AIcs.CLarXiv:2207.04429v22022
Meta$^n$: Recursive Self-Improvement through Emergent Depth
Zae Myung Kim, Young-Jun Lee, Seungyeon Jwa +1
cs.AIcs.CLeess.SYarXiv:2608.24735v12026
Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models
Hyunjong Ok, Jaeho Lee
cs.CLcs.AIcs.LGarXiv:2601.14152v22026
Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning
Minwu Kim, Safal Shrestha, Anubhav Shrestha +1
cs.LGcs.AIcs.CLarXiv:2601.20829v22026
GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection
Shuguang Zhang, Junhong Lian, Guoxin Yu +2
cs.CVcs.AIcs.CLarXiv:2601.20618v12026
ECO: Quantized Training without Full-Precision Master Weights
Mahdi Nikdan, Amir Zandieh, Dan Alistarh +1
cs.CLcs.AIcs.LGarXiv:2601.22101v12026
DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding
Jiaming Zhou, Xuxin Cheng, Shiwan Zhao +5
cs.SDcs.CLarXiv:2601.23161v12026
One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
Hongru Cai, Yongqi Li, Tiezheng Yu +4
cs.CLcs.AIarXiv:2601.18731v22026
BMAM: Brain-inspired Multi-Agent Memory Framework
Yang Li, Jiaxiang Liu, Yusong Wang +2
cs.CLarXiv:2601.20465v12026
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov, Ivan Vovk, Vladimir Gogoryan +2
cs.LGcs.CLstat.MLarXiv:2105.06337v22021
Iteration Without Elaboration: A Simple ReAct Architecture Suffices for Text-to-SQL Generation
Jian Lu, Haiwei Yu, Raymond M Xiong +2
cs.CLarXiv:2608.22651v12026
Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis
Qingyue Yang, Jie Wang, Xing Li +6
cs.CLarXiv:2601.21709v12026
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Hanze Dong, Wei Xiong, Deepanshu Goyal +7
cs.LGcs.AIcs.CLarXiv:2304.06767v42023
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Reid Pryzant, Dan Iter, Jerry Li +3
cs.CLcs.AIcs.LGarXiv:2305.03495v22023
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
Yingqi Qu, Yuchen Ding, Jing Liu +6
cs.CLcs.IRarXiv:2010.08191v22020
Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture
Francisco M. Arrabal-Campos, Francisco G. Montoya, Alfredo Alcayde +1
cs.AIcs.CLcs.LGarXiv:2608.22347v12026
Automatic detection of Gen-AI texts: A comparative framework of neural models
Cristian Buttaro, Irene Amerini
cs.CLarXiv:2603.18750v12026
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Jonathan H. Clark, Eunsol Choi, Michael Collins +4
cs.CLcs.LGarXiv:2003.05002v12020
Summaries:한국어
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot, Harsh Trivedi, Matthew Finlayson +4
cs.CLarXiv:2210.02406v22022
Summaries:한국어
Scaling Small Agents Through Strategy Auctions
Lisa Alazraki, William F. Shen, Yoram Bachrach +1
cs.MAcs.AIcs.CLarXiv:2602.02751v32026
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Le Yu, Bowen Yu, Haiyang Yu +2
cs.CLcs.LGarXiv:2311.03099v32023
SimpleGPT: Improving GPT via A Simple Normalization Strategy
Marco Chen, Xianbiao Qi, Yelin He +2
cs.LGcs.CLcs.CVarXiv:2602.01212v12026
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong, Stephen Merity, Richard Socher
cs.NEcs.CLcs.CVarXiv:1603.01417v12016
WideSeek: Advancing Wide Research via Multi-Agent Scaling
Ziyang Huang, Haolin Ren, Xiaowei Yuan +6
cs.CLcs.AIcs.IRarXiv:2602.02636v12026
What learning algorithm is in-context learning? Investigations with linear models
Ekin Akyürek, Dale Schuurmans, Jacob Andreas +2
cs.LGcs.CLarXiv:2211.15661v32022
Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
Zhipeng Chen, Xiaobo Qin, Wayne Xin Zhao +2
cs.CLcs.AIarXiv:2602.00759v12026
Rethinking Selective Knowledge Distillation
Almog Tavor, Itay Ebenspanger, Neil Cnaan +1
cs.CLarXiv:2602.01395v12026
Making Avatars Interact: Towards Text-Driven Human-Object Interaction for Controllable Talking Avatars
Youliang Zhang, Zhengguang Zhou, Zhentao Yu +11
cs.CVcs.AIcs.CLarXiv:2602.01538v12026
SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast Asia
Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji +2
cs.CLarXiv:2602.01618v12026
Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models
Wei Liu, Peijie Yu, Michele Orini +2
cs.AIcs.CLcs.DBarXiv:2602.02039v22026
WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
Pengyu Wang, Benfeng Xu, Licheng Zhang +4
cs.CLarXiv:2602.02053v22026
LiT: Zero-Shot Transfer with Locked-image text Tuning
Xiaohua Zhai, Xiao Wang, Basil Mustafa +4
cs.CVcs.CLcs.LGarXiv:2111.07991v32021
Echoes as Anchors: Probabilistic Costs and Attention Refocusing in LLM Reasoning
Zhuoyuan Hao, Zhuo Li, Wu Li +3
cs.CLarXiv:2602.06600v12026
ReMiT: RL-Guided Mid-Training for Iterative LLM Evolution
Junjie Huang, Jiarui Qin, Di Yin +4
cs.CLarXiv:2602.03075v12026
EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik
cs.CVcs.AIcs.CLarXiv:2308.09126v12023
Fix the Structural Bottleneck: Context Compression via Explicit Information Transmission
Jiangnan Ye, Hanqi Yan, Zhenyi Shen +3
cs.CLarXiv:2602.03784v42026
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Benjamin Warner, Antoine Chaffin, Benjamin Clavié +11
cs.CLcs.AIarXiv:2412.13663v22024
Language Chain in Alignment: Cross-Lingual Ranking Preference Optimization
Seungyoon Lee, Minhyuk Kim, Jungseob Lee +1
cs.CLcs.AIarXiv:2608.23149v12026
FNet: Mixing Tokens with Fourier Transforms
James Lee-Thorp, Joshua Ainslie, Ilya Eckstein +1
cs.CLcs.LGarXiv:2105.03824v42021
Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Models
Mingzi Cao, Xingwei Tan, Mahmud Elahi Akhter +4
cs.CLarXiv:2602.08658v22026
SocialVeil: Probing Social Intelligence of Language Agents under Communication Barriers
Keyang Xuan, Pengda Wang, Chongrui Ye +3
cs.AIcs.CLarXiv:2602.05115v12026
Uncovering Cross-Objective Interference in Multi-Objective Alignment
Yining Lu, Meng Jiang
cs.CLcs.LGarXiv:2602.06869v22026
Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model
Tianyi Wu, Mingzhe Du, Yue Liu +4
cs.CRcs.AIcs.CLarXiv:2602.07422v12026
A Survey on Automated Fact-Checking
Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos
cs.CLarXiv:2108.11896v32021
compar:IA: The French Government's LLM arena to collect French-language human prompts and preference data
Lucie Termignon, Simonas Zilinskas, Hadrien Pélissier +3
cs.CLcs.AIarXiv:2602.06669v12026
Improving Data and Reward Design for Scientific Reasoning in Large Language Models
Zijie Chen, Zhenghao Lin, Xiao Liu +3
cs.CLarXiv:2602.08321v22026
ChatGPT: Jack of all trades, master of none
Jan Kocoń, Igor Cichecki, Oliwier Kaszyca +17
cs.CLcs.AIcs.CYarXiv:2302.10724v42023
Mitigating Reasoning-Induced Misalignment via Safety-Direction Penalty
Yipeng Zhao, Qishun Yang, Shenzhe Zhu +2
cs.AIcs.CLarXiv:2608.23497v12026
Multimodal Fact-Level Attribution for Verifiable Reasoning
David Wan, Han Wang, Ziyang Wang +3
cs.CLcs.AIcs.CVarXiv:2602.11509v22026
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros, Richard Zemel
cs.LGcs.AIcs.CLarXiv:1505.02074v42015
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
Chan Hee Song, Jiaman Wu, Clayton Washington +3
cs.AIcs.CLcs.CVarXiv:2212.04088v32022

Computation and Language

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Visualizing and Understanding Neural Models in NLP

Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses

Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models

Memorization Dynamics in Knowledge Distillation for Language Models

All four leading LLMs talk more than they listen to personality-verified synthetic help-seekers

JudgeRLVR: Judge First, Generate Second for Efficient Reasoning

Whitewashing Hate, Smearing Harmless Content: Annotator-Style Rebuttal Attacks on LLM-Based Moderation

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action

Meta$^n$: Recursive Self-Improvement through Emergent Depth

Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models

Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning

GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection

ECO: Quantized Training without Full-Precision Master Weights

DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment

BMAM: Brain-inspired Multi-Agent Memory Framework

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

Iteration Without Elaboration: A Simple ReAct Architecture Suffices for Text-to-SQL Generation

Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture

Automatic detection of Gen-AI texts: A comparative framework of neural models

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Scaling Small Agents Through Strategy Auctions

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

SimpleGPT: Improving GPT via A Simple Normalization Strategy

Dynamic Memory Networks for Visual and Textual Question Answering

WideSeek: Advancing Wide Research via Multi-Agent Scaling

What learning algorithm is in-context learning? Investigations with linear models

Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning

Rethinking Selective Knowledge Distillation

Making Avatars Interact: Towards Text-Driven Human-Object Interaction for Controllable Talking Avatars

SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast Asia

Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models

WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora

LiT: Zero-Shot Transfer with Locked-image text Tuning

Echoes as Anchors: Probabilistic Costs and Attention Refocusing in LLM Reasoning

ReMiT: RL-Guided Mid-Training for Iterative LLM Evolution

EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding

Fix the Structural Bottleneck: Context Compression via Explicit Information Transmission

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Language Chain in Alignment: Cross-Lingual Ranking Preference Optimization

FNet: Mixing Tokens with Fourier Transforms

Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Models

SocialVeil: Probing Social Intelligence of Language Agents under Communication Barriers

Uncovering Cross-Objective Interference in Multi-Objective Alignment

Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model

A Survey on Automated Fact-Checking

compar:IA: The French Government's LLM arena to collect French-language human prompts and preference data

Improving Data and Reward Design for Scientific Reasoning in Large Language Models

ChatGPT: Jack of all trades, master of none

Mitigating Reasoning-Induced Misalignment via Safety-Direction Penalty

Multimodal Fact-Level Attribution for Verifiable Reasoning

Exploring Models and Data for Image Question Answering

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models